1 Time Series 7-Day Forecasting with multi-layer perceptron (MLP)

1.1 Contents

• 1 Time series 7-day forecasting with MLP
  • 1.1 Contents
  • 1.2 Imports
  • 1.3 Functions
    • 1.3.1 Function: feature_list
    • 1.3.2 Function: ebd_dim
    • 1.3.3 Function: split_sequences
    • 1.3.4 Function: to_embed
    • 1.3.5 Function: build_MLP with embeddings
    • 1.3.6 Function: ndarray_to_input_list
    • 1.3.7 Function: ginic
    • 1.3.8 Function: gini_normalizedc
    • 1.3.9 Functions: rmse_y_y_pred
    • 1.3.10 Functions: plot_actual_predicted
  • 1.5 Preprocessing
    • 1.5.1 Preprocessing: get feature and target for model training and testing with cross-validation
    • 1.5.2 Preprocessing: scale feature and target variables
  • 1.6 Train and test the MLP model
    • 1.6.1 Train and test the MLP model: train and test with cross-validation
    • 1.6.2 Summary and plot the model
  • 1.7 Organize and evaluate model performance
    • 1.7.1 Organize and evaluate model performance: train set
    • 1.7.2 Organize and evaluate model performance: validation set
    • 1.7.3 Organize and evaluate model performance: test set
    • 1.7.4 Organize and evaluate model performance: save
    • 1.7.5 Organize and evaluate model performance: plot

1.2 Imports

from google.colab import drive # (in Colab)
drive.mount('/content/drive')

Mounted at /content/drive

# The version needs to be identical to the version used to save the pickle file with pd.dataframes
!pip install pandas==1.3.1 
!pip install scipy==1.6.2
!pip install scikit-learn==0.24.2

Collecting pandas==1.3.1
  Downloading pandas-1.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.5 MB)
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Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.7/dist-packages (from pandas==1.3.1) (1.19.5)
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Installing collected packages: pandas
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    Found existing installation: pandas 1.1.5
    Uninstalling pandas-1.1.5:
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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
google-colab 1.0.0 requires pandas~=1.1.0; python_version >= "3.0", but you have pandas 1.3.1 which is incompatible.
Successfully installed pandas-1.3.1

Collecting scipy==1.6.2
  Downloading scipy-1.6.2-cp37-cp37m-manylinux1_x86_64.whl (27.4 MB)
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Requirement already satisfied: numpy<1.23.0,>=1.16.5 in /usr/local/lib/python3.7/dist-packages (from scipy==1.6.2) (1.19.5)
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    Found existing installation: scipy 1.4.1
    Uninstalling scipy-1.4.1:
      Successfully uninstalled scipy-1.4.1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.
Successfully installed scipy-1.6.2
Collecting scikit-learn==0.24.2
  Downloading scikit_learn-0.24.2-cp37-cp37m-manylinux2010_x86_64.whl (22.3 MB)
     |████████████████████████████████| 22.3 MB 1.2 MB/s 
Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn==0.24.2) (1.1.0)
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Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.7/dist-packages (from scikit-learn==0.24.2) (1.19.5)
Installing collected packages: scikit-learn
  Attempting uninstall: scikit-learn
    Found existing installation: scikit-learn 1.0.1
    Uninstalling scikit-learn-1.0.1:
      Successfully uninstalled scikit-learn-1.0.1
Successfully installed scikit-learn-0.24.2

#import sklearn
#print('The scikit-learn version is {}.'.format(sklearn.__version__))

import os
import pandas as pd
import numpy as np
import numpy.matlib
import matplotlib.pyplot as plt
import pickle
from pathlib import Path
from datetime import date, timedelta
#from isoweek import Week
import math
import warnings; warnings.simplefilter('ignore')

from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import TimeSeriesSplit
from sklearn.metrics import mean_squared_error

from keras.models import Model
from keras.layers import Input, Dense, Concatenate, Reshape, Dropout
from keras.layers.embeddings import Embedding
from keras.utils.vis_utils import plot_model

from contextlib import redirect_stdout
%matplotlib inline

# Set Matplotlib defaults
plt.style.use("seaborn-whitegrid")
plt.rc("figure", autolayout=True, figsize=(11, 5))
plt.rc(
    "axes",
    labelweight="bold",
    labelsize=14,
    titleweight="bold",
    titlesize=16,
    titlepad=10,
)
plot_params = dict(
    color="0.75",
    style=".-",
    markeredgecolor="0.25",
    markerfacecolor="0.25",
)

#print(pd.show_versions())

1.3 Functions

1.3.1 Functions: feature_list

# organize features in each row into 1) static categorical, 2) temporal categorical, 3) temporal continuous
def feature_list(country_id, row): 
    # Static Categorical
    country = country_id #0 country id
    # Temporal Categorical (datetime variables)
    dt = row[0].to_pydatetime()
    year = dt.year #1
    month = dt.month #2
    day = dt.day #3
    week_of_year = dt.isocalendar()[1] #4
    day_of_week = row[1].dayow #5
    holiday = row[1].holiday #6 holiday
    # Temporal Continuous (mobility variables)
    rtrc = row[1].rtrc #7 retail & recreation
    grph = row[1].grph #8 grocery & pharmacy
    prks = row[1].prks #9 parks
    tran = row[1].tran #10 transportation
    work = row[1].work #11 workplace
    resi = row[1].resi #12 residential area
    # Temporal Continuous (weather variables)
    cloudcover = float(row[1].cloudcover) #13 weather; cloudcover
    tempC = float(row[1].tempC) #14 weather; temparature
    humidity = float(row[1].humidity) #15 weather; humidity
    precipMM = float(row[1].precipMM) #16 weather; precipitation
    # Temporal Continuous (vaccination)
    vac = row[1].vac #17 vaccination
            
    return [country], \
[year, month, day, week_of_year, day_of_week, holiday], \
[rtrc, grph, prks, tran, work, resi, cloudcover, tempC, humidity, precipMM, vac] # Static Categorical, Temporal Categorical, Temporal Continuous

1.3.2 Functions: ebd_dim

# determine the embedding dimensions
def ebd_dim(cat_dim):
    return min(600, round(1.6 * cat_dim ** .56))

1.3.3 Functions: split_sequences

# get the input and output sequences from the entire time series
def split_sequences(sequences, timestamp, n_steps_in, n_steps_out): 
    timestamps = sequences.index
    df_time0 = timestamps[0]
    df_time_end = timestamps[-1]
    dt_steps_in = timedelta(days=n_steps_in)
    dt_steps_out = timedelta(days=n_steps_out-1)   
    dt_1 = timedelta(days=1)
    if (timestamp-dt_steps_in>=df_time0) & (timestamp+dt_steps_out<=df_time_end): # if within bounds
        # gather input and output parts of the pattern 
        seq_x = sequences[timestamp-dt_steps_in:timestamp-dt_1] # input sequence (e.g. previous 14 days) 
        seq_y = sequences[timestamp:timestamp+dt_steps_out] # output sequence (e.g. next 7 days including the current timestamp)
    return list(seq_x), list(seq_y)

1.3.4 Functions: to_embed

# preprocess the embedding columns
def to_embed(cat_columns): 
    
    cat_conv_raw = []
    cat_conv_array = np.empty((cat_columns.shape[0],cat_columns.shape[1]))
    
    for c in range(cat_columns.shape[1]):
        cat_conv_raw.append(list(cat_columns[:,c]))
        raw_vals = np.unique(cat_columns[:,c])
        val_map = {}
        for i in range(len(raw_vals)):
            val_map[raw_vals[i]] = i
        cat_conv_array[:,c] = [val_map[j] for j in cat_conv_raw[c]]
    return cat_conv_array

1.3.5 Functions: build_MLP_with_embeddings

def build_MLP_with_embeddings(): 
    
    inputs = []
    embeddings = []
    input_dims = []
    
    input_stat_cat_00_country = Input(shape=(1,)) # country (0)
    embedding = Embedding(23, 9, input_length=1)(input_stat_cat_00_country)
    embedding = Reshape(target_shape=(9,))(embedding)
    inputs.append(input_stat_cat_00_country)
    embeddings.append(embedding)
    input_dims.append(input_stat_cat_00_country.shape[-1])
    
    input_temp_cat_01_year = Input(shape=(1,)) # year (1)
    embedding = Embedding(2, 1, input_length=1)(input_temp_cat_01_year)
    embedding = Reshape(target_shape=(1,))(embedding)
    inputs.append(input_temp_cat_01_year)
    embeddings.append(embedding)
    input_dims.append(input_temp_cat_01_year.shape[-1])
     
    input_temp_cat_02_month = Input(shape=(1,)) # month (2)
    embedding = Embedding(12, 6, input_length=1)(input_temp_cat_02_month)
    embedding = Reshape(target_shape=(6,))(embedding)
    inputs.append(input_temp_cat_02_month)
    embeddings.append(embedding)    
    input_dims.append(input_temp_cat_02_month.shape[-1])
    
    input_temp_cat_03_day = Input(shape=(1,)) # day (3)
    embedding = Embedding(31, 11, input_length=1)(input_temp_cat_03_day)
    embedding = Reshape(target_shape=(11,))(embedding)
    inputs.append(input_temp_cat_03_day)
    embeddings.append(embedding)    
    input_dims.append(input_temp_cat_03_day.shape[-1])
    
    input_temp_cat_04_week_of_year = Input(shape=(1,)) # week of year (4)
    embedding = Embedding(53, 15, input_length=1)(input_temp_cat_04_week_of_year)
    embedding = Reshape(target_shape=(15,))(embedding)
    inputs.append(input_temp_cat_04_week_of_year)
    embeddings.append(embedding) 
    input_dims.append(input_temp_cat_04_week_of_year.shape[-1])
    
    input_temp_cat_05_day_of_week = Input(shape=(1,)) # day of week (5)
    embedding = Embedding(7, 5, input_length=1)(input_temp_cat_05_day_of_week)
    embedding = Reshape(target_shape=(5,))(embedding)
    inputs.append(input_temp_cat_05_day_of_week)
    embeddings.append(embedding) 
    input_dims.append(input_temp_cat_05_day_of_week.shape[-1])
    
    input_temp_cat_06_holiday = Input(shape=(1,)) # holiday (6)
    embedding = Embedding(2, 2, input_length=1)(input_temp_cat_06_holiday)
    embedding = Reshape(target_shape=(2,))(embedding)
    inputs.append(input_temp_cat_06_holiday)
    embeddings.append(embedding)  
    input_dims.append(input_temp_cat_06_holiday.shape[-1])
    
    input_numeric = Input(shape=(25,)) # all temporal continuous features (mobility, weather, vaccination)
    dense_numeric = Dense(19)(input_numeric)
    inputs.append(input_numeric)
    embeddings.append(dense_numeric)
    input_dims.append(input_numeric.shape[-1])
    
    x = Concatenate()(embeddings)
    x = Dense(90, activation='relu')(x)
    x = Dropout(.35)(x)
    x = Dense(40, activation='relu')(x)
    x = Dropout(.15)(x)
    x = Dense(10, activation='relu')(x)
    x = Dropout(.15)(x)
    output = Dense(7, activation='linear')(x)
    
    model = Model(inputs, output)
    
    model.compile(loss='binary_crossentropy', optimizer='adam')
    
    return model, input_dims
# plot_model(model, to_file='model_plot.png', show_shapes=True, show_layer_names=True)
# print(model.summary())

1.3.6 Functions: ndarray_to_input_list

def ndarray_to_input_list(ndarr,input_dims): 
    input_list = []
    input_dim_cumsum = list(np.cumsum(input_dims))
    input_dim_cumsum.insert(0,0)
    curr_input_0 = input_dim_cumsum[:-1]
    for i,input_0 in enumerate(curr_input_0):
        input_list.append(ndarr[:,input_0:input_0+input_dims[i]])
    return input_list

1.3.7 Functions: ginic

#gini scoring function from kernel at: 
#https://www.kaggle.com/tezdhar/faster-gini-calculation
def ginic(actual, pred):
    pred_arr = np.asarray(pred)
    if len(pred_arr.shape)==2: # matrix 
        pred_mean = pred.copy()
    elif len(pred_arr.shape)==3: # tuple 
        pred_mean = np.nanmean(pred_arr,axis=0) # average across cross-validation folds
    n, c = actual.shape[0], actual.shape[1]
    gini_sum = []
    for col in range(c):
        a_s = actual[np.argsort(pred_mean[:,col]),col] # returns the indices that would sort an array
        a_c = a_s.cumsum()
        gini_sum.append((a_c.sum() / a_c[-1] - (n + 1) / 2.0)/n) 
    return gini_sum

1.3.8 Functions: gini_normalizedc

def gini_normalizedc(a, p):
    gini_a_p = ginic(a, p)
    gini_a_a = ginic(a, a)
    gini_norm = [gini_a_p[i]/gini_a_a[i] for i in range(len(gini_a_p))]
    return gini_norm

1.3.9 Functions: rmse_y_y_pred

def rmse_y_y_pred(rez_dict, n_steps_out):
    rmse_dict = {}
    countries = sorted(set(rez_dict['country']))
    for country in countries:
        country_idx = [cc==country for cc in rez_dict['country']]
        country_rmse = []
        for d in range(n_steps_out):
            country_rmse.append(mean_squared_error(rez_dict['y'][country_idx,d], rez_dict['y_pred'][country_idx,d], squared=False))
        rmse_dict[country] = country_rmse
    return rmse_dict 

1.3.10 Functions: plot_actual_predicted

def plot_actual_predicted(rez_dict, dict_country, save_name, n_steps_out=7):
    countries = sorted(set(rez_dict['country']))
    # plot for each of the 7-day forecast
    for country in countries:
        fig, ax = plt.subplots(n_steps_out, 1, figsize=(12, 36))
        fig.subplots_adjust(wspace=0.5, hspace=0.7)
        
        country_idx = [cc==country for cc in rez_dict['country']]
        timestamps = [i for i,v in zip(rez_dict['timestamp'],country_idx) if v]
        
        holidays = np.array(dict_country[country].loc[timestamps, 'holiday']==1) # holidays
        sundays = np.array(dict_country[country].loc[timestamps, 'dayow']==6) # Sundays
        holi_sun = np.logical_or(holidays, sundays)
        holiday_timestamps = [date.strftime(i, '%b-%d') for i,v in zip(rez_dict['timestamp'],holi_sun) if v]
        
        y_actual = rez_dict['y'][country_idx,:]
        y_pred = rez_dict['y_pred'][country_idx,:]
        
        for i in range(n_steps_out):
            ts_td = [t+timedelta(days=i) for t in timestamps]
            ts = list(map(lambda x:date.strftime(x,'%y-%b-%d'),ts_td))   
            
            if save_name == 'train':
                interval = 28
            elif save_name == 'val':
                interval = 14
            elif save_name == 'test':
                interval = 2
            
            ts_td_interval = [ts for i, ts in enumerate(ts_td) if i in np.arange(0, len(ts_td), interval)]
            ts_interval = list(map(lambda x:date.strftime(x,'%y-%b-%d'),ts_td_interval))     
            
            ax[i].plot(ts, y_actual[:,i], 'o-')
            ax[i].plot(ts, y_pred[:,i], 'o-')
            ax[i].xaxis.set_ticks(ts_interval)
            ax[i].set_xlabel('Date', fontsize=14, fontweight='bold')
            #ax[i].set_xlim(ts[0], ts[-1])
            ax[i].set_ylabel('Cases per million', fontsize=14, fontweight='bold')          
            ax[i].set_title(country + '_step_#' + str(i), fontweight='bold', fontsize=20)
            ax[i].legend(['y_actual','y_pred'], prop=dict(weight='bold',size=12))
            for tick in ax[i].get_xticklabels():
                tick.set_rotation(45)
            ax[i].tick_params(axis='x', labelsize=12)
            ax[i].tick_params(axis='y', labelsize=12)
            #for holi in holiday_timestamps:
            #    ax[i].axvspan(holi, holi, color='red', alpha=0.3, linewidth=2)
        # figure save
        fig.savefig(os.path.join('/Users/parkj/Documents/pyDat/dataSet/covid19_forecasting/covid19_figures/MLP', \
                                  country+'_'+save_name+'_MLP_7d.pdf'), tranparent=True)
        #fig.savefig(os.path.join('/content/drive/My Drive/Colab_data/covid19/Figure', \
        #                         country+'_'+save_name+'_MLP_7d.pdf'), tranparent=True)

1.4 Load data

# load data from pickle file
filePath_pickle = Path('/content/drive/My Drive/Colab_data/covid19/covid_country_data.pickle')
with open(filePath_pickle, 'rb') as f:
    dict_country = pd.read_pickle(f)
# countries = ['AR', 'AT', 'AU', 'BE', 'CA', 'DE', 'DK', 'FI', 'FR', 'GB', 'ID', 'IE', 'IL', 'IN', 'IT', 'JP', 'KR', 'MX', 'NL', 'NO', 'RU', 'SG', 'US']

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
<ipython-input-10-1c2c035ae34d> in <module>
      1 # load data from pickle file
      2 filePath_pickle = Path('/content/drive/My Drive/Colab_data/covid19/covid_country_data.pickle')
----> 3 with open(filePath_pickle, 'rb') as f:
      4     dict_country = pd.read_pickle(f)
      5 # countries = ['AR', 'AT', 'AU', 'BE', 'CA', 'DE', 'DK', 'FI', 'FR', 'GB', 'ID', 'IE', 'IL', 'IN', 'IT', 'JP', 'KR', 'MX', 'NL', 'NO', 'RU', 'SG', 'US']

FileNotFoundError: [Errno 2] No such file or directory: '/content/drive/My Drive/Colab_data/covid19/covid_country_data.pickle'

1.5 Preprocessing

1.5.1 Preprocessing: get feature and target for model training and testing with cross-validation

train_timestamp = []
train_country = []
train_stat_cat = []
train_temp_cat = []
train_temp_con = []
train_feature_case = []
train_y_unscaled = []
test_timestamp = []
test_country = []
test_stat_cat = []
test_temp_cat = []
test_temp_con = []
test_feature_case = []
test_y_unscaled = []

n_test = 21 # days
dt_test = timedelta(days=n_test-1)
n_steps_in = 14 # days (# previous cases)
dt_steps_in = timedelta(days=n_steps_in)
n_steps_out = 7 # days (# future cases to be predicted)
dt_steps_out = timedelta(days=n_steps_out-1)

for i, country_key in enumerate(dict_country.keys()):
    case_detection = 0
    df_country = dict_country[country_key]
    df_country.fillna(method='ffill',inplace=True) # forward fill NaNs
    df_time0 = df_country.index[0] # the first day of the data
    df_time_end = df_country.index[-1] # the last day of the data
    # split the df into train and test sets
    test_time0 = df_country.index[-1]-dt_test # the first date of test set 
    train_ind = df_country.index < test_time0 # training index
    # feature_list train 
    df_country_train = df_country.loc[train_ind] # train df
    for row in df_country_train.iterrows():
        ts_curr = row[0] 
        # case_mil lagging
        if (ts_curr-dt_steps_in>=df_time0) & (ts_curr+dt_steps_out<=df_time_end):
            # get feature and target variables
            feature_case, target_case = split_sequences(df_country['case_mil'], ts_curr, n_steps_in, n_steps_out)         
            if (case_detection == 0) & (sum(feature_case)>0): # to exclude days before 1st case detection
                case_detection = 1
            if case_detection == 1:
                fl_stat_cat, fl_temp_cat, fl_temp_con = feature_list(i, row) # get static categorical, temporal categorical, temporal continuous variables separately 
                # train data X
                train_country.append(row[1].country_region_code)
                train_timestamp.append(ts_curr) # timestamps
                train_stat_cat.append(fl_stat_cat) # static categorical 
                train_temp_cat.append(fl_temp_cat) # temporal categorical 
                train_temp_con.append(fl_temp_con) # temporal continuous
                train_feature_case.append(feature_case) # case_mil previous days to be used as features
                # train data y
                train_y_unscaled.append(target_case) # case_mil current & future days to be predicted
    # feature list test
    df_country_test = df_country.loc[~train_ind] # test df
    # feature list test 
    for row in df_country_test.iterrows():
        ts_curr = row[0]
        # case_mil lagging
        if (ts_curr-dt_steps_in>=df_time0) & (ts_curr+dt_steps_out<=df_time_end):        
            # get feature and target variables
            feature_case, target_case = split_sequences(df_country['case_mil'], ts_curr, n_steps_in, n_steps_out) 
            fl_stat_cat, fl_temp_cat, fl_temp_con = feature_list(i, row) # get static categorical, temporal categorical, temporal continuous variables separately
            # test data X
            test_country.append(row[1].country_region_code)
            test_timestamp.append(ts_curr)
            test_stat_cat.append(fl_stat_cat) # static categorical 
            test_temp_cat.append(fl_temp_cat) # temporal categorical 
            test_temp_con.append(fl_temp_con) # temporal continuous
            test_feature_case.append(feature_case) # case_mil previous days to be used as features
            # train data y
            test_y_unscaled.append(target_case) # case_mil current & future days to be predicted

1.5.2 Preprocessing: scale feature and target variables

# convert list to ndarray
train_stat_cat_embed = to_embed(np.array(train_stat_cat))
train_temp_cat_embed = to_embed(np.array(train_temp_cat))
train_temp_con = np.array(train_temp_con)
train_feature_case = np.reshape(train_feature_case, (len(train_timestamp), n_steps_in))
train_y_unscaled = np.reshape(train_y_unscaled, (len(train_timestamp), n_steps_out))
test_stat_cat_embed = to_embed(np.array(test_stat_cat))
test_temp_cat_embed = to_embed(np.array(test_temp_cat))
test_temp_con = np.array(test_temp_con)
test_feature_case = np.reshape(test_feature_case, (len(test_timestamp), n_steps_in))
test_y_unscaled = np.reshape(test_y_unscaled, (len(test_timestamp), n_steps_out))
# scale the temporal continuous variables
temp_con_scaler = MinMaxScaler()
temp_con_scaler.fit(train_temp_con)
train_temp_con_scaled = temp_con_scaler.transform(train_temp_con)
test_temp_con_scaled = temp_con_scaler.transform(test_temp_con)
# scale feature and target cases (case_mil)
scaler_feature_case = StandardScaler()
scaler_y = StandardScaler()
case_all_1d = np.concatenate((train_feature_case.reshape(-1,1), test_feature_case.reshape(-1,1),\
                            train_y_unscaled.reshape(-1,1), test_y_unscaled.reshape(-1,1)),axis=0)
y_all_feature = np.matlib.repmat(case_all_1d, 1, train_feature_case.shape[1])
y_all_test = np.matlib.repmat(case_all_1d, 1, train_y_unscaled.shape[1])

scaler_feature_case.fit(y_all_feature)
scaler_y.fit(y_all_test)

train_feature_case_scaled = scaler_feature_case.transform(train_feature_case)
test_feature_case_scaled = scaler_feature_case.transform(test_feature_case)

train_y = scaler_y.transform(train_y_unscaled)
test_y = scaler_y.transform(test_y_unscaled)
# concatenate
train_X = np.concatenate((train_stat_cat_embed, train_temp_cat_embed, train_temp_con_scaled, train_feature_case_scaled), axis=1)
test_X = np.concatenate((test_stat_cat_embed, test_temp_cat_embed, test_temp_con_scaled, test_feature_case_scaled), axis=1)
print("Number of train datapoints: ", len(train_y))
print("Number of test datapoints: ", len(test_y))

Number of train datapoints:  12541
Number of test datapoints:  345

1.6 Train and test the MLP model

1.6.1 Train and test the MLP model: train and test with cross-validation

# get the cross-validation folds for train and validation sets  
train_folds = []
validation_folds = []
# get the timestamps for train and validation folds
sorted_train_timestamp = sorted((set(train_timestamp))) # unique timestamps in the train set
tscv = TimeSeriesSplit(n_splits=5, test_size=20) # splitting train and validations sets for cross validation
for train_idx, validation_idx in tscv.split(sorted_train_timestamp): # get train and validation sets
    # print("TRAIN:", train_idx, "VALIDATION:", validation_idx)
    train_folds.append([sorted_train_timestamp[i] for i in train_idx]) # folds in train set
    validation_folds.append([sorted_train_timestamp[i] for i in validation_idx]) # folds in validation set

n_epochs = 1000
runs_per_fold = 20

cv_ginis = []
train_preds = []
train_idx_fold = [] 
val_preds = []
val_idx_fold = []
test_preds = []

# network training
for fold in range(len(train_folds)): # iterate cross-validation folds
    fold_idx_train = [ts in train_folds[fold] for ts in train_timestamp]
    train_idx_fold.append(fold_idx_train)
    fold_idx_val = [ts in validation_folds[fold] for ts in train_timestamp]
    val_idx_fold.append(fold_idx_val)
    X_train_f, X_val_f = train_X[fold_idx_train,:], train_X[fold_idx_val,:] # X_train for the current fold
    y_train_f, y_val_f = train_y[fold_idx_train,:], train_y[fold_idx_val,:] # y_train for the current fold
    
    train_preds_fold = []
    val_preds_fold = []
    
    for run_n in range(runs_per_fold): # iterate # of runs per fold
        # build the model
        NN, input_dim_NN = build_MLP_with_embeddings() # build the model and get input dimensions
        
        X_train_f_input = ndarray_to_input_list(X_train_f, input_dim_NN)
        X_val_f_input = ndarray_to_input_list(X_val_f, input_dim_NN)
        X_test_f_input = ndarray_to_input_list(test_X, input_dim_NN)
        
        NN.fit(X_train_f_input, y_train_f, epochs=n_epochs, batch_size=2048, verbose=2)
   
        train_preds_fold.append(NN.predict(X_train_f_input))
        val_preds_fold.append(NN.predict(X_val_f_input))
        test_preds.append(NN.predict(X_test_f_input))
    
    cv_gini = gini_normalizedc(y_val_f, val_preds_fold) # actual, predicted
    cv_ginis.append(cv_gini)
    for i, cvg in enumerate(cv_gini):
        print('\nFold %d prediction cv gini_%d: %.5f\n' %(fold,i,cv_gini[i]))
    
    train_preds.append(np.mean(np.asarray(train_preds_fold),axis=0)) # ave
    val_preds.append(np.mean(np.asarray(val_preds_fold),axis=0))
    
cv_gini_mean = np.nanmean(np.asarray(cv_ginis),axis=0)
for i, g in enumerate(cv_gini_mean):
    print('Mean validation fold gini_%d: %.5f\n' %(i,g))

test_y_pred = np.nanmean(np.asarray(test_preds),axis=0) # average across cross-validation folds and runs

Streaming output truncated to the last 5000 lines.
6/6 - 0s - loss: -6.6077e+00 - 34ms/epoch - 6ms/step
Epoch 519/1000
6/6 - 0s - loss: -6.5992e+00 - 35ms/epoch - 6ms/step
Epoch 520/1000
6/6 - 0s - loss: -6.5863e+00 - 35ms/epoch - 6ms/step
Epoch 521/1000
6/6 - 0s - loss: -6.6102e+00 - 35ms/epoch - 6ms/step
Epoch 522/1000
6/6 - 0s - loss: -6.6156e+00 - 33ms/epoch - 6ms/step
Epoch 523/1000
6/6 - 0s - loss: -6.5989e+00 - 34ms/epoch - 6ms/step
Epoch 524/1000
6/6 - 0s - loss: -6.5549e+00 - 33ms/epoch - 5ms/step
Epoch 525/1000
6/6 - 0s - loss: -6.5005e+00 - 35ms/epoch - 6ms/step
Epoch 526/1000
6/6 - 0s - loss: -6.5278e+00 - 35ms/epoch - 6ms/step
Epoch 527/1000
6/6 - 0s - loss: -6.5264e+00 - 33ms/epoch - 5ms/step
Epoch 528/1000
6/6 - 0s - loss: -6.5290e+00 - 33ms/epoch - 5ms/step
Epoch 529/1000
6/6 - 0s - loss: -6.5456e+00 - 35ms/epoch - 6ms/step
Epoch 530/1000
6/6 - 0s - loss: -6.5579e+00 - 37ms/epoch - 6ms/step
Epoch 531/1000
6/6 - 0s - loss: -6.5775e+00 - 34ms/epoch - 6ms/step
Epoch 532/1000
6/6 - 0s - loss: -6.5842e+00 - 35ms/epoch - 6ms/step
Epoch 533/1000
6/6 - 0s - loss: -6.6044e+00 - 33ms/epoch - 6ms/step
Epoch 534/1000
6/6 - 0s - loss: -6.5949e+00 - 33ms/epoch - 6ms/step
Epoch 535/1000
6/6 - 0s - loss: -6.5967e+00 - 36ms/epoch - 6ms/step
Epoch 536/1000
6/6 - 0s - loss: -6.5869e+00 - 32ms/epoch - 5ms/step
Epoch 537/1000
6/6 - 0s - loss: -6.6034e+00 - 31ms/epoch - 5ms/step
Epoch 538/1000
6/6 - 0s - loss: -6.5860e+00 - 34ms/epoch - 6ms/step
Epoch 539/1000
6/6 - 0s - loss: -6.5874e+00 - 35ms/epoch - 6ms/step
Epoch 540/1000
6/6 - 0s - loss: -6.5831e+00 - 34ms/epoch - 6ms/step
Epoch 541/1000
6/6 - 0s - loss: -6.5617e+00 - 33ms/epoch - 5ms/step
Epoch 542/1000
6/6 - 0s - loss: -6.5818e+00 - 35ms/epoch - 6ms/step
Epoch 543/1000
6/6 - 0s - loss: -6.6020e+00 - 34ms/epoch - 6ms/step
Epoch 544/1000
6/6 - 0s - loss: -6.5966e+00 - 34ms/epoch - 6ms/step
Epoch 545/1000
6/6 - 0s - loss: -6.6178e+00 - 34ms/epoch - 6ms/step
Epoch 546/1000
6/6 - 0s - loss: -6.6140e+00 - 34ms/epoch - 6ms/step
Epoch 547/1000
6/6 - 0s - loss: -6.6141e+00 - 36ms/epoch - 6ms/step
Epoch 548/1000
6/6 - 0s - loss: -6.6122e+00 - 33ms/epoch - 5ms/step
Epoch 549/1000
6/6 - 0s - loss: -6.6158e+00 - 31ms/epoch - 5ms/step
Epoch 550/1000
6/6 - 0s - loss: -6.6207e+00 - 35ms/epoch - 6ms/step
Epoch 551/1000
6/6 - 0s - loss: -6.6218e+00 - 34ms/epoch - 6ms/step
Epoch 552/1000
6/6 - 0s - loss: -6.6386e+00 - 34ms/epoch - 6ms/step
Epoch 553/1000
6/6 - 0s - loss: -6.6047e+00 - 32ms/epoch - 5ms/step
Epoch 554/1000
6/6 - 0s - loss: -6.6152e+00 - 35ms/epoch - 6ms/step
Epoch 555/1000
6/6 - 0s - loss: -6.6113e+00 - 33ms/epoch - 6ms/step
Epoch 556/1000
6/6 - 0s - loss: -6.6226e+00 - 34ms/epoch - 6ms/step
Epoch 557/1000
6/6 - 0s - loss: -6.5563e+00 - 34ms/epoch - 6ms/step
Epoch 558/1000
6/6 - 0s - loss: -6.6236e+00 - 35ms/epoch - 6ms/step
Epoch 559/1000
6/6 - 0s - loss: -6.6128e+00 - 34ms/epoch - 6ms/step
Epoch 560/1000
6/6 - 0s - loss: -6.6235e+00 - 32ms/epoch - 5ms/step
Epoch 561/1000
6/6 - 0s - loss: -6.6088e+00 - 31ms/epoch - 5ms/step
Epoch 562/1000
6/6 - 0s - loss: -6.6114e+00 - 35ms/epoch - 6ms/step
Epoch 563/1000
6/6 - 0s - loss: -6.6207e+00 - 35ms/epoch - 6ms/step
Epoch 564/1000
6/6 - 0s - loss: -6.5997e+00 - 32ms/epoch - 5ms/step
Epoch 565/1000
6/6 - 0s - loss: -6.6317e+00 - 33ms/epoch - 5ms/step
Epoch 566/1000
6/6 - 0s - loss: -6.6117e+00 - 34ms/epoch - 6ms/step
Epoch 567/1000
6/6 - 0s - loss: -6.6346e+00 - 35ms/epoch - 6ms/step
Epoch 568/1000
6/6 - 0s - loss: -6.6171e+00 - 38ms/epoch - 6ms/step
Epoch 569/1000
6/6 - 0s - loss: -6.6262e+00 - 35ms/epoch - 6ms/step
Epoch 570/1000
6/6 - 0s - loss: -6.6218e+00 - 32ms/epoch - 5ms/step
Epoch 571/1000
6/6 - 0s - loss: -6.6383e+00 - 34ms/epoch - 6ms/step
Epoch 572/1000
6/6 - 0s - loss: -6.6232e+00 - 32ms/epoch - 5ms/step
Epoch 573/1000
6/6 - 0s - loss: -6.6270e+00 - 33ms/epoch - 5ms/step
Epoch 574/1000
6/6 - 0s - loss: -6.6244e+00 - 32ms/epoch - 5ms/step
Epoch 575/1000
6/6 - 0s - loss: -6.6327e+00 - 30ms/epoch - 5ms/step
Epoch 576/1000
6/6 - 0s - loss: -6.6299e+00 - 31ms/epoch - 5ms/step
Epoch 577/1000
6/6 - 0s - loss: -6.6436e+00 - 32ms/epoch - 5ms/step
Epoch 578/1000
6/6 - 0s - loss: -6.6285e+00 - 33ms/epoch - 6ms/step
Epoch 579/1000
6/6 - 0s - loss: -6.6297e+00 - 29ms/epoch - 5ms/step
Epoch 580/1000
6/6 - 0s - loss: -6.6259e+00 - 36ms/epoch - 6ms/step
Epoch 581/1000
6/6 - 0s - loss: -6.6269e+00 - 34ms/epoch - 6ms/step
Epoch 582/1000
6/6 - 0s - loss: -6.6458e+00 - 34ms/epoch - 6ms/step
Epoch 583/1000
6/6 - 0s - loss: -6.6324e+00 - 35ms/epoch - 6ms/step
Epoch 584/1000
6/6 - 0s - loss: -6.6382e+00 - 34ms/epoch - 6ms/step
Epoch 585/1000
6/6 - 0s - loss: -6.6325e+00 - 34ms/epoch - 6ms/step
Epoch 586/1000
6/6 - 0s - loss: -6.6390e+00 - 34ms/epoch - 6ms/step
Epoch 587/1000
6/6 - 0s - loss: -6.6297e+00 - 35ms/epoch - 6ms/step
Epoch 588/1000
6/6 - 0s - loss: -6.6369e+00 - 33ms/epoch - 5ms/step
Epoch 589/1000
6/6 - 0s - loss: -6.6313e+00 - 32ms/epoch - 5ms/step
Epoch 590/1000
6/6 - 0s - loss: -6.6317e+00 - 33ms/epoch - 6ms/step
Epoch 591/1000
6/6 - 0s - loss: -6.6186e+00 - 34ms/epoch - 6ms/step
Epoch 592/1000
6/6 - 0s - loss: -6.6194e+00 - 33ms/epoch - 6ms/step
Epoch 593/1000
6/6 - 0s - loss: -6.6373e+00 - 31ms/epoch - 5ms/step
Epoch 594/1000
6/6 - 0s - loss: -6.6304e+00 - 34ms/epoch - 6ms/step
Epoch 595/1000
6/6 - 0s - loss: -6.6443e+00 - 32ms/epoch - 5ms/step
Epoch 596/1000
6/6 - 0s - loss: -6.6548e+00 - 31ms/epoch - 5ms/step
Epoch 597/1000
6/6 - 0s - loss: -6.6428e+00 - 34ms/epoch - 6ms/step
Epoch 598/1000
6/6 - 0s - loss: -6.6418e+00 - 34ms/epoch - 6ms/step
Epoch 599/1000
6/6 - 0s - loss: -6.6390e+00 - 33ms/epoch - 5ms/step
Epoch 600/1000
6/6 - 0s - loss: -6.6404e+00 - 33ms/epoch - 6ms/step
Epoch 601/1000
6/6 - 0s - loss: -6.6187e+00 - 34ms/epoch - 6ms/step
Epoch 602/1000
6/6 - 0s - loss: -6.6369e+00 - 30ms/epoch - 5ms/step
Epoch 603/1000
6/6 - 0s - loss: -6.6319e+00 - 34ms/epoch - 6ms/step
Epoch 604/1000
6/6 - 0s - loss: -6.6271e+00 - 33ms/epoch - 5ms/step
Epoch 605/1000
6/6 - 0s - loss: -6.6418e+00 - 33ms/epoch - 5ms/step
Epoch 606/1000
6/6 - 0s - loss: -6.6310e+00 - 32ms/epoch - 5ms/step
Epoch 607/1000
6/6 - 0s - loss: -6.6526e+00 - 35ms/epoch - 6ms/step
Epoch 608/1000
6/6 - 0s - loss: -6.6576e+00 - 34ms/epoch - 6ms/step
Epoch 609/1000
6/6 - 0s - loss: -6.6541e+00 - 31ms/epoch - 5ms/step
Epoch 610/1000
6/6 - 0s - loss: -6.6512e+00 - 34ms/epoch - 6ms/step
Epoch 611/1000
6/6 - 0s - loss: -6.6560e+00 - 31ms/epoch - 5ms/step
Epoch 612/1000
6/6 - 0s - loss: -6.6410e+00 - 33ms/epoch - 5ms/step
Epoch 613/1000
6/6 - 0s - loss: -6.6500e+00 - 33ms/epoch - 6ms/step
Epoch 614/1000
6/6 - 0s - loss: -6.6451e+00 - 33ms/epoch - 5ms/step
Epoch 615/1000
6/6 - 0s - loss: -6.6453e+00 - 35ms/epoch - 6ms/step
Epoch 616/1000
6/6 - 0s - loss: -6.6470e+00 - 33ms/epoch - 5ms/step
Epoch 617/1000
6/6 - 0s - loss: -6.5871e+00 - 33ms/epoch - 5ms/step
Epoch 618/1000
6/6 - 0s - loss: -6.6546e+00 - 32ms/epoch - 5ms/step
Epoch 619/1000
6/6 - 0s - loss: -6.6439e+00 - 32ms/epoch - 5ms/step
Epoch 620/1000
6/6 - 0s - loss: -6.6531e+00 - 34ms/epoch - 6ms/step
Epoch 621/1000
6/6 - 0s - loss: -6.6477e+00 - 32ms/epoch - 5ms/step
Epoch 622/1000
6/6 - 0s - loss: -6.5838e+00 - 32ms/epoch - 5ms/step
Epoch 623/1000
6/6 - 0s - loss: -6.6450e+00 - 35ms/epoch - 6ms/step
Epoch 624/1000
6/6 - 0s - loss: -6.6540e+00 - 32ms/epoch - 5ms/step
Epoch 625/1000
6/6 - 0s - loss: -6.6459e+00 - 33ms/epoch - 5ms/step
Epoch 626/1000
6/6 - 0s - loss: -6.6461e+00 - 32ms/epoch - 5ms/step
Epoch 627/1000
6/6 - 0s - loss: -6.6379e+00 - 36ms/epoch - 6ms/step
Epoch 628/1000
6/6 - 0s - loss: -6.6630e+00 - 33ms/epoch - 6ms/step
Epoch 629/1000
6/6 - 0s - loss: -6.6620e+00 - 32ms/epoch - 5ms/step
Epoch 630/1000
6/6 - 0s - loss: -6.6558e+00 - 34ms/epoch - 6ms/step
Epoch 631/1000
6/6 - 0s - loss: -6.6463e+00 - 38ms/epoch - 6ms/step
Epoch 632/1000
6/6 - 0s - loss: -6.6412e+00 - 34ms/epoch - 6ms/step
Epoch 633/1000
6/6 - 0s - loss: -6.6554e+00 - 32ms/epoch - 5ms/step
Epoch 634/1000
6/6 - 0s - loss: -6.6512e+00 - 33ms/epoch - 5ms/step
Epoch 635/1000
6/6 - 0s - loss: -6.6606e+00 - 35ms/epoch - 6ms/step
Epoch 636/1000
6/6 - 0s - loss: -6.6384e+00 - 34ms/epoch - 6ms/step
Epoch 637/1000
6/6 - 0s - loss: -6.6344e+00 - 35ms/epoch - 6ms/step
Epoch 638/1000
6/6 - 0s - loss: -6.6221e+00 - 34ms/epoch - 6ms/step
Epoch 639/1000
6/6 - 0s - loss: -6.6255e+00 - 35ms/epoch - 6ms/step
Epoch 640/1000
6/6 - 0s - loss: -6.6207e+00 - 33ms/epoch - 6ms/step
Epoch 641/1000
6/6 - 0s - loss: -6.6156e+00 - 33ms/epoch - 5ms/step
Epoch 642/1000
6/6 - 0s - loss: -6.6230e+00 - 33ms/epoch - 6ms/step
Epoch 643/1000
6/6 - 0s - loss: -6.6291e+00 - 34ms/epoch - 6ms/step
Epoch 644/1000
6/6 - 0s - loss: -6.6280e+00 - 35ms/epoch - 6ms/step
Epoch 645/1000
6/6 - 0s - loss: -6.6294e+00 - 33ms/epoch - 5ms/step
Epoch 646/1000
6/6 - 0s - loss: -6.6354e+00 - 34ms/epoch - 6ms/step
Epoch 647/1000
6/6 - 0s - loss: -6.6370e+00 - 38ms/epoch - 6ms/step
Epoch 648/1000
6/6 - 0s - loss: -6.6313e+00 - 41ms/epoch - 7ms/step
Epoch 649/1000
6/6 - 0s - loss: -6.6482e+00 - 39ms/epoch - 7ms/step
Epoch 650/1000
6/6 - 0s - loss: -6.6536e+00 - 35ms/epoch - 6ms/step
Epoch 651/1000
6/6 - 0s - loss: -6.6475e+00 - 36ms/epoch - 6ms/step
Epoch 652/1000
6/6 - 0s - loss: -6.6529e+00 - 35ms/epoch - 6ms/step
Epoch 653/1000
6/6 - 0s - loss: -6.6594e+00 - 39ms/epoch - 7ms/step
Epoch 654/1000
6/6 - 0s - loss: -6.6330e+00 - 37ms/epoch - 6ms/step
Epoch 655/1000
6/6 - 0s - loss: -6.5675e+00 - 36ms/epoch - 6ms/step
Epoch 656/1000
6/6 - 0s - loss: -6.5794e+00 - 38ms/epoch - 6ms/step
Epoch 657/1000
6/6 - 0s - loss: -6.6042e+00 - 40ms/epoch - 7ms/step
Epoch 658/1000
6/6 - 0s - loss: -6.6565e+00 - 34ms/epoch - 6ms/step
Epoch 659/1000
6/6 - 0s - loss: -6.6563e+00 - 34ms/epoch - 6ms/step
Epoch 660/1000
6/6 - 0s - loss: -6.6377e+00 - 34ms/epoch - 6ms/step
Epoch 661/1000
6/6 - 0s - loss: -6.6513e+00 - 37ms/epoch - 6ms/step
Epoch 662/1000
6/6 - 0s - loss: -6.6526e+00 - 34ms/epoch - 6ms/step
Epoch 663/1000
6/6 - 0s - loss: -6.6564e+00 - 33ms/epoch - 6ms/step
Epoch 664/1000
6/6 - 0s - loss: -6.6510e+00 - 32ms/epoch - 5ms/step
Epoch 665/1000
6/6 - 0s - loss: -6.6560e+00 - 34ms/epoch - 6ms/step
Epoch 666/1000
6/6 - 0s - loss: -6.6535e+00 - 34ms/epoch - 6ms/step
Epoch 667/1000
6/6 - 0s - loss: -6.6466e+00 - 35ms/epoch - 6ms/step
Epoch 668/1000
6/6 - 0s - loss: -6.6458e+00 - 32ms/epoch - 5ms/step
Epoch 669/1000
6/6 - 0s - loss: -6.6234e+00 - 34ms/epoch - 6ms/step
Epoch 670/1000
6/6 - 0s - loss: -6.6354e+00 - 32ms/epoch - 5ms/step
Epoch 671/1000
6/6 - 0s - loss: -6.6425e+00 - 31ms/epoch - 5ms/step
Epoch 672/1000
6/6 - 0s - loss: -6.6443e+00 - 38ms/epoch - 6ms/step
Epoch 673/1000
6/6 - 0s - loss: -6.6507e+00 - 32ms/epoch - 5ms/step
Epoch 674/1000
6/6 - 0s - loss: -6.6562e+00 - 34ms/epoch - 6ms/step
Epoch 675/1000
6/6 - 0s - loss: -6.6528e+00 - 31ms/epoch - 5ms/step
Epoch 676/1000
6/6 - 0s - loss: -6.6389e+00 - 32ms/epoch - 5ms/step
Epoch 677/1000
6/6 - 0s - loss: -6.6447e+00 - 33ms/epoch - 6ms/step
Epoch 678/1000
6/6 - 0s - loss: -6.6546e+00 - 32ms/epoch - 5ms/step
Epoch 679/1000
6/6 - 0s - loss: -6.6452e+00 - 36ms/epoch - 6ms/step
Epoch 680/1000
6/6 - 0s - loss: -6.6542e+00 - 31ms/epoch - 5ms/step
Epoch 681/1000
6/6 - 0s - loss: -6.6463e+00 - 35ms/epoch - 6ms/step
Epoch 682/1000
6/6 - 0s - loss: -6.6466e+00 - 36ms/epoch - 6ms/step
Epoch 683/1000
6/6 - 0s - loss: -6.6674e+00 - 34ms/epoch - 6ms/step
Epoch 684/1000
6/6 - 0s - loss: -6.6559e+00 - 32ms/epoch - 5ms/step
Epoch 685/1000
6/6 - 0s - loss: -6.6416e+00 - 31ms/epoch - 5ms/step
Epoch 686/1000
6/6 - 0s - loss: -6.6592e+00 - 34ms/epoch - 6ms/step
Epoch 687/1000
6/6 - 0s - loss: -6.6625e+00 - 34ms/epoch - 6ms/step
Epoch 688/1000
6/6 - 0s - loss: -6.6659e+00 - 34ms/epoch - 6ms/step
Epoch 689/1000
6/6 - 0s - loss: -6.6408e+00 - 33ms/epoch - 5ms/step
Epoch 690/1000
6/6 - 0s - loss: -6.6726e+00 - 32ms/epoch - 5ms/step
Epoch 691/1000
6/6 - 0s - loss: -6.6574e+00 - 33ms/epoch - 5ms/step
Epoch 692/1000
6/6 - 0s - loss: -6.6602e+00 - 33ms/epoch - 6ms/step
Epoch 693/1000
6/6 - 0s - loss: -6.6663e+00 - 31ms/epoch - 5ms/step
Epoch 694/1000
6/6 - 0s - loss: -6.6514e+00 - 33ms/epoch - 6ms/step
Epoch 695/1000
6/6 - 0s - loss: -6.5792e+00 - 35ms/epoch - 6ms/step
Epoch 696/1000
6/6 - 0s - loss: -6.3553e+00 - 34ms/epoch - 6ms/step
Epoch 697/1000
6/6 - 0s - loss: -6.3202e+00 - 34ms/epoch - 6ms/step
Epoch 698/1000
6/6 - 0s - loss: -6.3661e+00 - 36ms/epoch - 6ms/step
Epoch 699/1000
6/6 - 0s - loss: -6.4268e+00 - 38ms/epoch - 6ms/step
Epoch 700/1000
6/6 - 0s - loss: -6.4665e+00 - 36ms/epoch - 6ms/step
Epoch 701/1000
6/6 - 0s - loss: -6.5112e+00 - 33ms/epoch - 6ms/step
Epoch 702/1000
6/6 - 0s - loss: -6.5505e+00 - 32ms/epoch - 5ms/step
Epoch 703/1000
6/6 - 0s - loss: -6.5648e+00 - 34ms/epoch - 6ms/step
Epoch 704/1000
6/6 - 0s - loss: -6.6081e+00 - 34ms/epoch - 6ms/step
Epoch 705/1000
6/6 - 0s - loss: -6.6026e+00 - 31ms/epoch - 5ms/step
Epoch 706/1000
6/6 - 0s - loss: -6.6054e+00 - 32ms/epoch - 5ms/step
Epoch 707/1000
6/6 - 0s - loss: -6.6234e+00 - 34ms/epoch - 6ms/step
Epoch 708/1000
6/6 - 0s - loss: -6.6284e+00 - 34ms/epoch - 6ms/step
Epoch 709/1000
6/6 - 0s - loss: -6.6197e+00 - 34ms/epoch - 6ms/step
Epoch 710/1000
6/6 - 0s - loss: -6.6350e+00 - 32ms/epoch - 5ms/step
Epoch 711/1000
6/6 - 0s - loss: -6.6061e+00 - 31ms/epoch - 5ms/step
Epoch 712/1000
6/6 - 0s - loss: -6.6349e+00 - 34ms/epoch - 6ms/step
Epoch 713/1000
6/6 - 0s - loss: -6.6319e+00 - 35ms/epoch - 6ms/step
Epoch 714/1000
6/6 - 0s - loss: -6.6361e+00 - 33ms/epoch - 5ms/step
Epoch 715/1000
6/6 - 0s - loss: -6.6366e+00 - 31ms/epoch - 5ms/step
Epoch 716/1000
6/6 - 0s - loss: -6.6230e+00 - 31ms/epoch - 5ms/step
Epoch 717/1000
6/6 - 0s - loss: -6.6231e+00 - 36ms/epoch - 6ms/step
Epoch 718/1000
6/6 - 0s - loss: -6.6274e+00 - 32ms/epoch - 5ms/step
Epoch 719/1000
6/6 - 0s - loss: -6.6180e+00 - 32ms/epoch - 5ms/step
Epoch 720/1000
6/6 - 0s - loss: -6.6183e+00 - 35ms/epoch - 6ms/step
Epoch 721/1000
6/6 - 0s - loss: -6.6121e+00 - 37ms/epoch - 6ms/step
Epoch 722/1000
6/6 - 0s - loss: -6.6095e+00 - 32ms/epoch - 5ms/step
Epoch 723/1000
6/6 - 0s - loss: -6.6146e+00 - 34ms/epoch - 6ms/step
Epoch 724/1000
6/6 - 0s - loss: -6.6205e+00 - 36ms/epoch - 6ms/step
Epoch 725/1000
6/6 - 0s - loss: -6.6286e+00 - 34ms/epoch - 6ms/step
Epoch 726/1000
6/6 - 0s - loss: -6.6323e+00 - 32ms/epoch - 5ms/step
Epoch 727/1000
6/6 - 0s - loss: -6.6332e+00 - 33ms/epoch - 6ms/step
Epoch 728/1000
6/6 - 0s - loss: -6.6339e+00 - 33ms/epoch - 5ms/step
Epoch 729/1000
6/6 - 0s - loss: -6.6582e+00 - 32ms/epoch - 5ms/step
Epoch 730/1000
6/6 - 0s - loss: -6.6234e+00 - 32ms/epoch - 5ms/step
Epoch 731/1000
6/6 - 0s - loss: -6.6423e+00 - 33ms/epoch - 5ms/step
Epoch 732/1000
6/6 - 0s - loss: -6.6387e+00 - 32ms/epoch - 5ms/step
Epoch 733/1000
6/6 - 0s - loss: -6.6424e+00 - 36ms/epoch - 6ms/step
Epoch 734/1000
6/6 - 0s - loss: -6.6414e+00 - 34ms/epoch - 6ms/step
Epoch 735/1000
6/6 - 0s - loss: -6.6364e+00 - 32ms/epoch - 5ms/step
Epoch 736/1000
6/6 - 0s - loss: -6.6624e+00 - 33ms/epoch - 5ms/step
Epoch 737/1000
6/6 - 0s - loss: -6.6393e+00 - 33ms/epoch - 5ms/step
Epoch 738/1000
6/6 - 0s - loss: -6.6530e+00 - 32ms/epoch - 5ms/step
Epoch 739/1000
6/6 - 0s - loss: -6.6569e+00 - 33ms/epoch - 5ms/step
Epoch 740/1000
6/6 - 0s - loss: -6.6509e+00 - 33ms/epoch - 5ms/step
Epoch 741/1000
6/6 - 0s - loss: -6.6565e+00 - 35ms/epoch - 6ms/step
Epoch 742/1000
6/6 - 0s - loss: -6.6461e+00 - 38ms/epoch - 6ms/step
Epoch 743/1000
6/6 - 0s - loss: -6.6415e+00 - 34ms/epoch - 6ms/step
Epoch 744/1000
6/6 - 0s - loss: -6.6416e+00 - 32ms/epoch - 5ms/step
Epoch 745/1000
6/6 - 0s - loss: -6.6405e+00 - 34ms/epoch - 6ms/step
Epoch 746/1000
6/6 - 0s - loss: -6.6547e+00 - 40ms/epoch - 7ms/step
Epoch 747/1000
6/6 - 0s - loss: -6.6458e+00 - 31ms/epoch - 5ms/step
Epoch 748/1000
6/6 - 0s - loss: -6.6491e+00 - 33ms/epoch - 5ms/step
Epoch 749/1000
6/6 - 0s - loss: -6.6414e+00 - 34ms/epoch - 6ms/step
Epoch 750/1000
6/6 - 0s - loss: -6.6629e+00 - 33ms/epoch - 5ms/step
Epoch 751/1000
6/6 - 0s - loss: -6.6521e+00 - 35ms/epoch - 6ms/step
Epoch 752/1000
6/6 - 0s - loss: -6.6633e+00 - 32ms/epoch - 5ms/step
Epoch 753/1000
6/6 - 0s - loss: -6.6418e+00 - 33ms/epoch - 5ms/step
Epoch 754/1000
6/6 - 0s - loss: -6.6569e+00 - 33ms/epoch - 6ms/step
Epoch 755/1000
6/6 - 0s - loss: -6.6694e+00 - 34ms/epoch - 6ms/step
Epoch 756/1000
6/6 - 0s - loss: -6.6459e+00 - 32ms/epoch - 5ms/step
Epoch 757/1000
6/6 - 0s - loss: -6.6593e+00 - 34ms/epoch - 6ms/step
Epoch 758/1000
6/6 - 0s - loss: -6.6571e+00 - 32ms/epoch - 5ms/step
Epoch 759/1000
6/6 - 0s - loss: -6.6672e+00 - 35ms/epoch - 6ms/step
Epoch 760/1000
6/6 - 0s - loss: -6.6567e+00 - 34ms/epoch - 6ms/step
Epoch 761/1000
6/6 - 0s - loss: -6.6532e+00 - 33ms/epoch - 6ms/step
Epoch 762/1000
6/6 - 0s - loss: -6.6588e+00 - 33ms/epoch - 6ms/step
Epoch 763/1000
6/6 - 0s - loss: -6.6594e+00 - 34ms/epoch - 6ms/step
Epoch 764/1000
6/6 - 0s - loss: -6.6526e+00 - 34ms/epoch - 6ms/step
Epoch 765/1000
6/6 - 0s - loss: -6.6289e+00 - 34ms/epoch - 6ms/step
Epoch 766/1000
6/6 - 0s - loss: -6.6276e+00 - 32ms/epoch - 5ms/step
Epoch 767/1000
6/6 - 0s - loss: -6.6150e+00 - 33ms/epoch - 5ms/step
Epoch 768/1000
6/6 - 0s - loss: -6.6366e+00 - 33ms/epoch - 5ms/step
Epoch 769/1000
6/6 - 0s - loss: -6.6395e+00 - 33ms/epoch - 6ms/step
Epoch 770/1000
6/6 - 0s - loss: -6.5979e+00 - 34ms/epoch - 6ms/step
Epoch 771/1000
6/6 - 0s - loss: -6.6542e+00 - 34ms/epoch - 6ms/step
Epoch 772/1000
6/6 - 0s - loss: -6.6500e+00 - 33ms/epoch - 5ms/step
Epoch 773/1000
6/6 - 0s - loss: -6.6659e+00 - 35ms/epoch - 6ms/step
Epoch 774/1000
6/6 - 0s - loss: -6.6713e+00 - 38ms/epoch - 6ms/step
Epoch 775/1000
6/6 - 0s - loss: -6.6567e+00 - 36ms/epoch - 6ms/step
Epoch 776/1000
6/6 - 0s - loss: -6.6636e+00 - 35ms/epoch - 6ms/step
Epoch 777/1000
6/6 - 0s - loss: -6.6633e+00 - 35ms/epoch - 6ms/step
Epoch 778/1000
6/6 - 0s - loss: -6.6664e+00 - 34ms/epoch - 6ms/step
Epoch 779/1000
6/6 - 0s - loss: -6.6654e+00 - 32ms/epoch - 5ms/step
Epoch 780/1000
6/6 - 0s - loss: -6.6540e+00 - 33ms/epoch - 5ms/step
Epoch 781/1000
6/6 - 0s - loss: -6.6706e+00 - 33ms/epoch - 5ms/step
Epoch 782/1000
6/6 - 0s - loss: -6.6602e+00 - 34ms/epoch - 6ms/step
Epoch 783/1000
6/6 - 0s - loss: -6.6606e+00 - 33ms/epoch - 5ms/step
Epoch 784/1000
6/6 - 0s - loss: -6.6782e+00 - 35ms/epoch - 6ms/step
Epoch 785/1000
6/6 - 0s - loss: -6.6635e+00 - 32ms/epoch - 5ms/step
Epoch 786/1000
6/6 - 0s - loss: -6.6804e+00 - 33ms/epoch - 6ms/step
Epoch 787/1000
6/6 - 0s - loss: -6.6693e+00 - 33ms/epoch - 6ms/step
Epoch 788/1000
6/6 - 0s - loss: -6.6687e+00 - 33ms/epoch - 6ms/step
Epoch 789/1000
6/6 - 0s - loss: -6.6640e+00 - 34ms/epoch - 6ms/step
Epoch 790/1000
6/6 - 0s - loss: -6.6762e+00 - 35ms/epoch - 6ms/step
Epoch 791/1000
6/6 - 0s - loss: -6.6617e+00 - 37ms/epoch - 6ms/step
Epoch 792/1000
6/6 - 0s - loss: -6.6658e+00 - 36ms/epoch - 6ms/step
Epoch 793/1000
6/6 - 0s - loss: -6.6572e+00 - 35ms/epoch - 6ms/step
Epoch 794/1000
6/6 - 0s - loss: -6.6633e+00 - 34ms/epoch - 6ms/step
Epoch 795/1000
6/6 - 0s - loss: -6.6610e+00 - 36ms/epoch - 6ms/step
Epoch 796/1000
6/6 - 0s - loss: -6.6533e+00 - 36ms/epoch - 6ms/step
Epoch 797/1000
6/6 - 0s - loss: -6.6559e+00 - 39ms/epoch - 6ms/step
Epoch 798/1000
6/6 - 0s - loss: -6.6527e+00 - 38ms/epoch - 6ms/step
Epoch 799/1000
6/6 - 0s - loss: -6.6682e+00 - 33ms/epoch - 5ms/step
Epoch 800/1000
6/6 - 0s - loss: -6.6689e+00 - 33ms/epoch - 6ms/step
Epoch 801/1000
6/6 - 0s - loss: -6.6570e+00 - 37ms/epoch - 6ms/step
Epoch 802/1000
6/6 - 0s - loss: -6.6766e+00 - 36ms/epoch - 6ms/step
Epoch 803/1000
6/6 - 0s - loss: -6.6623e+00 - 35ms/epoch - 6ms/step
Epoch 804/1000
6/6 - 0s - loss: -6.6683e+00 - 37ms/epoch - 6ms/step
Epoch 805/1000
6/6 - 0s - loss: -6.6666e+00 - 34ms/epoch - 6ms/step
Epoch 806/1000
6/6 - 0s - loss: -6.6657e+00 - 32ms/epoch - 5ms/step
Epoch 807/1000
6/6 - 0s - loss: -6.6705e+00 - 33ms/epoch - 6ms/step
Epoch 808/1000
6/6 - 0s - loss: -6.6706e+00 - 35ms/epoch - 6ms/step
Epoch 809/1000
6/6 - 0s - loss: -6.6836e+00 - 31ms/epoch - 5ms/step
Epoch 810/1000
6/6 - 0s - loss: -6.6758e+00 - 36ms/epoch - 6ms/step
Epoch 811/1000
6/6 - 0s - loss: -6.6758e+00 - 34ms/epoch - 6ms/step
Epoch 812/1000
6/6 - 0s - loss: -6.6759e+00 - 31ms/epoch - 5ms/step
Epoch 813/1000
6/6 - 0s - loss: -6.6815e+00 - 36ms/epoch - 6ms/step
Epoch 814/1000
6/6 - 0s - loss: -6.6759e+00 - 36ms/epoch - 6ms/step
Epoch 815/1000
6/6 - 0s - loss: -6.6572e+00 - 36ms/epoch - 6ms/step
Epoch 816/1000
6/6 - 0s - loss: -6.6688e+00 - 34ms/epoch - 6ms/step
Epoch 817/1000
6/6 - 0s - loss: -6.6689e+00 - 39ms/epoch - 6ms/step
Epoch 818/1000
6/6 - 0s - loss: -6.6684e+00 - 38ms/epoch - 6ms/step
Epoch 819/1000
6/6 - 0s - loss: -6.6739e+00 - 38ms/epoch - 6ms/step
Epoch 820/1000
6/6 - 0s - loss: -6.6749e+00 - 37ms/epoch - 6ms/step
Epoch 821/1000
6/6 - 0s - loss: -6.6797e+00 - 38ms/epoch - 6ms/step
Epoch 822/1000
6/6 - 0s - loss: -6.6809e+00 - 31ms/epoch - 5ms/step
Epoch 823/1000
6/6 - 0s - loss: -6.6672e+00 - 34ms/epoch - 6ms/step
Epoch 824/1000
6/6 - 0s - loss: -6.6798e+00 - 32ms/epoch - 5ms/step
Epoch 825/1000
6/6 - 0s - loss: -6.6821e+00 - 31ms/epoch - 5ms/step
Epoch 826/1000
6/6 - 0s - loss: -6.6692e+00 - 32ms/epoch - 5ms/step
Epoch 827/1000
6/6 - 0s - loss: -6.6671e+00 - 35ms/epoch - 6ms/step
Epoch 828/1000
6/6 - 0s - loss: -6.6660e+00 - 33ms/epoch - 6ms/step
Epoch 829/1000
6/6 - 0s - loss: -6.6889e+00 - 32ms/epoch - 5ms/step
Epoch 830/1000
6/6 - 0s - loss: -6.6810e+00 - 35ms/epoch - 6ms/step
Epoch 831/1000
6/6 - 0s - loss: -6.6840e+00 - 32ms/epoch - 5ms/step
Epoch 832/1000
6/6 - 0s - loss: -6.6696e+00 - 34ms/epoch - 6ms/step
Epoch 833/1000
6/6 - 0s - loss: -6.6868e+00 - 33ms/epoch - 5ms/step
Epoch 834/1000
6/6 - 0s - loss: -6.6764e+00 - 32ms/epoch - 5ms/step
Epoch 835/1000
6/6 - 0s - loss: -6.6812e+00 - 32ms/epoch - 5ms/step
Epoch 836/1000
6/6 - 0s - loss: -6.6759e+00 - 32ms/epoch - 5ms/step
Epoch 837/1000
6/6 - 0s - loss: -6.6765e+00 - 37ms/epoch - 6ms/step
Epoch 838/1000
6/6 - 0s - loss: -6.6863e+00 - 37ms/epoch - 6ms/step
Epoch 839/1000
6/6 - 0s - loss: -6.6649e+00 - 31ms/epoch - 5ms/step
Epoch 840/1000
6/6 - 0s - loss: -6.6819e+00 - 32ms/epoch - 5ms/step
Epoch 841/1000
6/6 - 0s - loss: -6.6716e+00 - 33ms/epoch - 6ms/step
Epoch 842/1000
6/6 - 0s - loss: -6.6890e+00 - 34ms/epoch - 6ms/step
Epoch 843/1000
6/6 - 0s - loss: -6.6869e+00 - 35ms/epoch - 6ms/step
Epoch 844/1000
6/6 - 0s - loss: -6.6594e+00 - 35ms/epoch - 6ms/step
Epoch 845/1000
6/6 - 0s - loss: -6.6703e+00 - 32ms/epoch - 5ms/step
Epoch 846/1000
6/6 - 0s - loss: -6.6675e+00 - 33ms/epoch - 5ms/step
Epoch 847/1000
6/6 - 0s - loss: -6.6853e+00 - 31ms/epoch - 5ms/step
Epoch 848/1000
6/6 - 0s - loss: -6.6757e+00 - 31ms/epoch - 5ms/step
Epoch 849/1000
6/6 - 0s - loss: -6.6808e+00 - 36ms/epoch - 6ms/step
Epoch 850/1000
6/6 - 0s - loss: -6.6880e+00 - 33ms/epoch - 6ms/step
Epoch 851/1000
6/6 - 0s - loss: -6.6817e+00 - 39ms/epoch - 7ms/step
Epoch 852/1000
6/6 - 0s - loss: -6.6841e+00 - 31ms/epoch - 5ms/step
Epoch 853/1000
6/6 - 0s - loss: -6.6832e+00 - 35ms/epoch - 6ms/step
Epoch 854/1000
6/6 - 0s - loss: -6.6750e+00 - 32ms/epoch - 5ms/step
Epoch 855/1000
6/6 - 0s - loss: -6.6566e+00 - 34ms/epoch - 6ms/step
Epoch 856/1000
6/6 - 0s - loss: -6.6601e+00 - 32ms/epoch - 5ms/step
Epoch 857/1000
6/6 - 0s - loss: -6.6693e+00 - 34ms/epoch - 6ms/step
Epoch 858/1000
6/6 - 0s - loss: -6.6762e+00 - 34ms/epoch - 6ms/step
Epoch 859/1000
6/6 - 0s - loss: -6.6687e+00 - 34ms/epoch - 6ms/step
Epoch 860/1000
6/6 - 0s - loss: -6.6814e+00 - 36ms/epoch - 6ms/step
Epoch 861/1000
6/6 - 0s - loss: -6.6625e+00 - 34ms/epoch - 6ms/step
Epoch 862/1000
6/6 - 0s - loss: -6.6785e+00 - 32ms/epoch - 5ms/step
Epoch 863/1000
6/6 - 0s - loss: -6.6821e+00 - 32ms/epoch - 5ms/step
Epoch 864/1000
6/6 - 0s - loss: -6.6922e+00 - 34ms/epoch - 6ms/step
Epoch 865/1000
6/6 - 0s - loss: -6.6743e+00 - 36ms/epoch - 6ms/step
Epoch 866/1000
6/6 - 0s - loss: -6.6796e+00 - 34ms/epoch - 6ms/step
Epoch 867/1000
6/6 - 0s - loss: -6.6903e+00 - 31ms/epoch - 5ms/step
Epoch 868/1000
6/6 - 0s - loss: -6.6808e+00 - 33ms/epoch - 5ms/step
Epoch 869/1000
6/6 - 0s - loss: -6.6823e+00 - 33ms/epoch - 6ms/step
Epoch 870/1000
6/6 - 0s - loss: -6.6885e+00 - 33ms/epoch - 6ms/step
Epoch 871/1000
6/6 - 0s - loss: -6.6950e+00 - 32ms/epoch - 5ms/step
Epoch 872/1000
6/6 - 0s - loss: -6.6830e+00 - 33ms/epoch - 6ms/step
Epoch 873/1000
6/6 - 0s - loss: -6.6985e+00 - 33ms/epoch - 6ms/step
Epoch 874/1000
6/6 - 0s - loss: -6.6884e+00 - 33ms/epoch - 6ms/step
Epoch 875/1000
6/6 - 0s - loss: -6.6937e+00 - 32ms/epoch - 5ms/step
Epoch 876/1000
6/6 - 0s - loss: -6.6963e+00 - 32ms/epoch - 5ms/step
Epoch 877/1000
6/6 - 0s - loss: -6.6851e+00 - 34ms/epoch - 6ms/step
Epoch 878/1000
6/6 - 0s - loss: -6.6847e+00 - 33ms/epoch - 6ms/step
Epoch 879/1000
6/6 - 0s - loss: -6.6929e+00 - 34ms/epoch - 6ms/step
Epoch 880/1000
6/6 - 0s - loss: -6.6992e+00 - 32ms/epoch - 5ms/step
Epoch 881/1000
6/6 - 0s - loss: -6.6929e+00 - 32ms/epoch - 5ms/step
Epoch 882/1000
6/6 - 0s - loss: -6.6852e+00 - 34ms/epoch - 6ms/step
Epoch 883/1000
6/6 - 0s - loss: -6.6863e+00 - 33ms/epoch - 6ms/step
Epoch 884/1000
6/6 - 0s - loss: -6.6991e+00 - 33ms/epoch - 5ms/step
Epoch 885/1000
6/6 - 0s - loss: -6.6919e+00 - 30ms/epoch - 5ms/step
Epoch 886/1000
6/6 - 0s - loss: -6.6890e+00 - 32ms/epoch - 5ms/step
Epoch 887/1000
6/6 - 0s - loss: -6.6991e+00 - 33ms/epoch - 6ms/step
Epoch 888/1000
6/6 - 0s - loss: -6.6890e+00 - 34ms/epoch - 6ms/step
Epoch 889/1000
6/6 - 0s - loss: -6.7052e+00 - 33ms/epoch - 5ms/step
Epoch 890/1000
6/6 - 0s - loss: -6.6841e+00 - 31ms/epoch - 5ms/step
Epoch 891/1000
6/6 - 0s - loss: -6.6955e+00 - 34ms/epoch - 6ms/step
Epoch 892/1000
6/6 - 0s - loss: -6.6839e+00 - 36ms/epoch - 6ms/step
Epoch 893/1000
6/6 - 0s - loss: -6.6906e+00 - 34ms/epoch - 6ms/step
Epoch 894/1000
6/6 - 0s - loss: -6.6868e+00 - 36ms/epoch - 6ms/step
Epoch 895/1000
6/6 - 0s - loss: -6.6999e+00 - 34ms/epoch - 6ms/step
Epoch 896/1000
6/6 - 0s - loss: -6.6836e+00 - 34ms/epoch - 6ms/step
Epoch 897/1000
6/6 - 0s - loss: -6.6117e+00 - 33ms/epoch - 6ms/step
Epoch 898/1000
6/6 - 0s - loss: -6.6171e+00 - 35ms/epoch - 6ms/step
Epoch 899/1000
6/6 - 0s - loss: -6.6652e+00 - 33ms/epoch - 5ms/step
Epoch 900/1000
6/6 - 0s - loss: -6.6861e+00 - 32ms/epoch - 5ms/step
Epoch 901/1000
6/6 - 0s - loss: -6.6749e+00 - 33ms/epoch - 6ms/step
Epoch 902/1000
6/6 - 0s - loss: -6.6753e+00 - 34ms/epoch - 6ms/step
Epoch 903/1000
6/6 - 0s - loss: -6.6858e+00 - 32ms/epoch - 5ms/step
Epoch 904/1000
6/6 - 0s - loss: -6.6924e+00 - 32ms/epoch - 5ms/step
Epoch 905/1000
6/6 - 0s - loss: -6.6865e+00 - 33ms/epoch - 5ms/step
Epoch 906/1000
6/6 - 0s - loss: -6.7026e+00 - 35ms/epoch - 6ms/step
Epoch 907/1000
6/6 - 0s - loss: -6.6841e+00 - 33ms/epoch - 5ms/step
Epoch 908/1000
6/6 - 0s - loss: -6.6835e+00 - 31ms/epoch - 5ms/step
Epoch 909/1000
6/6 - 0s - loss: -6.6851e+00 - 34ms/epoch - 6ms/step
Epoch 910/1000
6/6 - 0s - loss: -6.6883e+00 - 31ms/epoch - 5ms/step
Epoch 911/1000
6/6 - 0s - loss: -6.6684e+00 - 35ms/epoch - 6ms/step
Epoch 912/1000
6/6 - 0s - loss: -6.6837e+00 - 33ms/epoch - 5ms/step
Epoch 913/1000
6/6 - 0s - loss: -6.6768e+00 - 33ms/epoch - 5ms/step
Epoch 914/1000
6/6 - 0s - loss: -6.6913e+00 - 32ms/epoch - 5ms/step
Epoch 915/1000
6/6 - 0s - loss: -6.6860e+00 - 35ms/epoch - 6ms/step
Epoch 916/1000
6/6 - 0s - loss: -6.6895e+00 - 31ms/epoch - 5ms/step
Epoch 917/1000
6/6 - 0s - loss: -6.6801e+00 - 35ms/epoch - 6ms/step
Epoch 918/1000
6/6 - 0s - loss: -6.6827e+00 - 33ms/epoch - 5ms/step
Epoch 919/1000
6/6 - 0s - loss: -6.6877e+00 - 31ms/epoch - 5ms/step
Epoch 920/1000
6/6 - 0s - loss: -6.6897e+00 - 32ms/epoch - 5ms/step
Epoch 921/1000
6/6 - 0s - loss: -6.6891e+00 - 34ms/epoch - 6ms/step
Epoch 922/1000
6/6 - 0s - loss: -6.6919e+00 - 32ms/epoch - 5ms/step
Epoch 923/1000
6/6 - 0s - loss: -6.6970e+00 - 35ms/epoch - 6ms/step
Epoch 924/1000
6/6 - 0s - loss: -6.6954e+00 - 32ms/epoch - 5ms/step
Epoch 925/1000
6/6 - 0s - loss: -6.6928e+00 - 33ms/epoch - 5ms/step
Epoch 926/1000
6/6 - 0s - loss: -6.6948e+00 - 32ms/epoch - 5ms/step
Epoch 927/1000
6/6 - 0s - loss: -6.7054e+00 - 32ms/epoch - 5ms/step
Epoch 928/1000
6/6 - 0s - loss: -6.6881e+00 - 34ms/epoch - 6ms/step
Epoch 929/1000
6/6 - 0s - loss: -6.6848e+00 - 35ms/epoch - 6ms/step
Epoch 930/1000
6/6 - 0s - loss: -6.6757e+00 - 33ms/epoch - 6ms/step
Epoch 931/1000
6/6 - 0s - loss: -6.6935e+00 - 32ms/epoch - 5ms/step
Epoch 932/1000
6/6 - 0s - loss: -6.6995e+00 - 32ms/epoch - 5ms/step
Epoch 933/1000
6/6 - 0s - loss: -6.6999e+00 - 32ms/epoch - 5ms/step
Epoch 934/1000
6/6 - 0s - loss: -6.7028e+00 - 31ms/epoch - 5ms/step
Epoch 935/1000
6/6 - 0s - loss: -6.6917e+00 - 34ms/epoch - 6ms/step
Epoch 936/1000
6/6 - 0s - loss: -6.6987e+00 - 32ms/epoch - 5ms/step
Epoch 937/1000
6/6 - 0s - loss: -6.6902e+00 - 42ms/epoch - 7ms/step
Epoch 938/1000
6/6 - 0s - loss: -6.6897e+00 - 31ms/epoch - 5ms/step
Epoch 939/1000
6/6 - 0s - loss: -6.7010e+00 - 32ms/epoch - 5ms/step
Epoch 940/1000
6/6 - 0s - loss: -6.6938e+00 - 32ms/epoch - 5ms/step
Epoch 941/1000
6/6 - 0s - loss: -6.6922e+00 - 33ms/epoch - 5ms/step
Epoch 942/1000
6/6 - 0s - loss: -6.7070e+00 - 32ms/epoch - 5ms/step
Epoch 943/1000
6/6 - 0s - loss: -6.6885e+00 - 31ms/epoch - 5ms/step
Epoch 944/1000
6/6 - 0s - loss: -6.6987e+00 - 31ms/epoch - 5ms/step
Epoch 945/1000
6/6 - 0s - loss: -6.6898e+00 - 40ms/epoch - 7ms/step
Epoch 946/1000
6/6 - 0s - loss: -6.6773e+00 - 36ms/epoch - 6ms/step
Epoch 947/1000
6/6 - 0s - loss: -6.6704e+00 - 33ms/epoch - 5ms/step
Epoch 948/1000
6/6 - 0s - loss: -6.6844e+00 - 31ms/epoch - 5ms/step
Epoch 949/1000
6/6 - 0s - loss: -6.6843e+00 - 34ms/epoch - 6ms/step
Epoch 950/1000
6/6 - 0s - loss: -6.6856e+00 - 36ms/epoch - 6ms/step
Epoch 951/1000
6/6 - 0s - loss: -6.6851e+00 - 35ms/epoch - 6ms/step
Epoch 952/1000
6/6 - 0s - loss: -6.6730e+00 - 32ms/epoch - 5ms/step
Epoch 953/1000
6/6 - 0s - loss: -6.6844e+00 - 33ms/epoch - 5ms/step
Epoch 954/1000
6/6 - 0s - loss: -6.6811e+00 - 36ms/epoch - 6ms/step
Epoch 955/1000
6/6 - 0s - loss: -6.6944e+00 - 35ms/epoch - 6ms/step
Epoch 956/1000
6/6 - 0s - loss: -6.6876e+00 - 32ms/epoch - 5ms/step
Epoch 957/1000
6/6 - 0s - loss: -6.6924e+00 - 34ms/epoch - 6ms/step
Epoch 958/1000
6/6 - 0s - loss: -6.7024e+00 - 31ms/epoch - 5ms/step
Epoch 959/1000
6/6 - 0s - loss: -6.6984e+00 - 33ms/epoch - 6ms/step
Epoch 960/1000
6/6 - 0s - loss: -6.6938e+00 - 31ms/epoch - 5ms/step
Epoch 961/1000
6/6 - 0s - loss: -6.7041e+00 - 32ms/epoch - 5ms/step
Epoch 962/1000
6/6 - 0s - loss: -6.6996e+00 - 33ms/epoch - 6ms/step
Epoch 963/1000
6/6 - 0s - loss: -6.7007e+00 - 35ms/epoch - 6ms/step
Epoch 964/1000
6/6 - 0s - loss: -6.7053e+00 - 33ms/epoch - 6ms/step
Epoch 965/1000
6/6 - 0s - loss: -6.6903e+00 - 34ms/epoch - 6ms/step
Epoch 966/1000
6/6 - 0s - loss: -6.6951e+00 - 32ms/epoch - 5ms/step
Epoch 967/1000
6/6 - 0s - loss: -6.6934e+00 - 35ms/epoch - 6ms/step
Epoch 968/1000
6/6 - 0s - loss: -6.6973e+00 - 32ms/epoch - 5ms/step
Epoch 969/1000
6/6 - 0s - loss: -6.6966e+00 - 33ms/epoch - 6ms/step
Epoch 970/1000
6/6 - 0s - loss: -6.6969e+00 - 34ms/epoch - 6ms/step
Epoch 971/1000
6/6 - 0s - loss: -6.6980e+00 - 33ms/epoch - 6ms/step
Epoch 972/1000
6/6 - 0s - loss: -6.7048e+00 - 34ms/epoch - 6ms/step
Epoch 973/1000
6/6 - 0s - loss: -6.6994e+00 - 35ms/epoch - 6ms/step
Epoch 974/1000
6/6 - 0s - loss: -6.7069e+00 - 33ms/epoch - 6ms/step
Epoch 975/1000
6/6 - 0s - loss: -6.7083e+00 - 33ms/epoch - 5ms/step
Epoch 976/1000
6/6 - 0s - loss: -6.7023e+00 - 32ms/epoch - 5ms/step
Epoch 977/1000
6/6 - 0s - loss: -6.7112e+00 - 32ms/epoch - 5ms/step
Epoch 978/1000
6/6 - 0s - loss: -6.6969e+00 - 32ms/epoch - 5ms/step
Epoch 979/1000
6/6 - 0s - loss: -6.7130e+00 - 35ms/epoch - 6ms/step
Epoch 980/1000
6/6 - 0s - loss: -6.7085e+00 - 31ms/epoch - 5ms/step
Epoch 981/1000
6/6 - 0s - loss: -6.7009e+00 - 36ms/epoch - 6ms/step
Epoch 982/1000
6/6 - 0s - loss: -6.7022e+00 - 34ms/epoch - 6ms/step
Epoch 983/1000
6/6 - 0s - loss: -6.7062e+00 - 33ms/epoch - 6ms/step
Epoch 984/1000
6/6 - 0s - loss: -6.7000e+00 - 32ms/epoch - 5ms/step
Epoch 985/1000
6/6 - 0s - loss: -6.7005e+00 - 33ms/epoch - 5ms/step
Epoch 986/1000
6/6 - 0s - loss: -6.6847e+00 - 31ms/epoch - 5ms/step
Epoch 987/1000
6/6 - 0s - loss: -6.6837e+00 - 35ms/epoch - 6ms/step
Epoch 988/1000
6/6 - 0s - loss: -6.6972e+00 - 32ms/epoch - 5ms/step
Epoch 989/1000
6/6 - 0s - loss: -6.6890e+00 - 32ms/epoch - 5ms/step
Epoch 990/1000
6/6 - 0s - loss: -6.6980e+00 - 31ms/epoch - 5ms/step
Epoch 991/1000
6/6 - 0s - loss: -6.7014e+00 - 34ms/epoch - 6ms/step
Epoch 992/1000
6/6 - 0s - loss: -6.6930e+00 - 35ms/epoch - 6ms/step
Epoch 993/1000
6/6 - 0s - loss: -6.7019e+00 - 33ms/epoch - 6ms/step
Epoch 994/1000
6/6 - 0s - loss: -6.7075e+00 - 33ms/epoch - 6ms/step
Epoch 995/1000
6/6 - 0s - loss: -6.7143e+00 - 33ms/epoch - 6ms/step
Epoch 996/1000
6/6 - 0s - loss: -6.7143e+00 - 35ms/epoch - 6ms/step
Epoch 997/1000
6/6 - 0s - loss: -6.7136e+00 - 32ms/epoch - 5ms/step
Epoch 998/1000
6/6 - 0s - loss: -6.6985e+00 - 34ms/epoch - 6ms/step
Epoch 999/1000
6/6 - 0s - loss: -6.7071e+00 - 33ms/epoch - 5ms/step
Epoch 1000/1000
6/6 - 0s - loss: -6.7134e+00 - 36ms/epoch - 6ms/step
Epoch 1/1000
6/6 - 1s - loss: -8.0556e-01 - 1s/epoch - 191ms/step
Epoch 2/1000
6/6 - 0s - loss: -1.4370e+00 - 33ms/epoch - 5ms/step
Epoch 3/1000
6/6 - 0s - loss: -1.8244e+00 - 32ms/epoch - 5ms/step
Epoch 4/1000
6/6 - 0s - loss: -2.2099e+00 - 32ms/epoch - 5ms/step
Epoch 5/1000
6/6 - 0s - loss: -2.4529e+00 - 33ms/epoch - 6ms/step
Epoch 6/1000
6/6 - 0s - loss: -2.6593e+00 - 34ms/epoch - 6ms/step
Epoch 7/1000
6/6 - 0s - loss: -2.8388e+00 - 34ms/epoch - 6ms/step
Epoch 8/1000
6/6 - 0s - loss: -2.9652e+00 - 31ms/epoch - 5ms/step
Epoch 9/1000
6/6 - 0s - loss: -3.0983e+00 - 34ms/epoch - 6ms/step
Epoch 10/1000
6/6 - 0s - loss: -3.3373e+00 - 36ms/epoch - 6ms/step
Epoch 11/1000
6/6 - 0s - loss: -3.6956e+00 - 34ms/epoch - 6ms/step
Epoch 12/1000
6/6 - 0s - loss: -3.9660e+00 - 35ms/epoch - 6ms/step
Epoch 13/1000
6/6 - 0s - loss: -4.2153e+00 - 35ms/epoch - 6ms/step
Epoch 14/1000
6/6 - 0s - loss: -4.5168e+00 - 34ms/epoch - 6ms/step
Epoch 15/1000
6/6 - 0s - loss: -4.7843e+00 - 34ms/epoch - 6ms/step
Epoch 16/1000
6/6 - 0s - loss: -4.8919e+00 - 31ms/epoch - 5ms/step
Epoch 17/1000
6/6 - 0s - loss: -5.0272e+00 - 34ms/epoch - 6ms/step
Epoch 18/1000
6/6 - 0s - loss: -5.0865e+00 - 33ms/epoch - 5ms/step
Epoch 19/1000
6/6 - 0s - loss: -5.1104e+00 - 33ms/epoch - 5ms/step
Epoch 20/1000
6/6 - 0s - loss: -5.1398e+00 - 36ms/epoch - 6ms/step
Epoch 21/1000
6/6 - 0s - loss: -5.1404e+00 - 33ms/epoch - 6ms/step
Epoch 22/1000
6/6 - 0s - loss: -5.1826e+00 - 31ms/epoch - 5ms/step
Epoch 23/1000
6/6 - 0s - loss: -5.1827e+00 - 30ms/epoch - 5ms/step
Epoch 24/1000
6/6 - 0s - loss: -5.1871e+00 - 33ms/epoch - 6ms/step
Epoch 25/1000
6/6 - 0s - loss: -5.1716e+00 - 34ms/epoch - 6ms/step
Epoch 26/1000
6/6 - 0s - loss: -5.2076e+00 - 34ms/epoch - 6ms/step
Epoch 27/1000
6/6 - 0s - loss: -5.2324e+00 - 33ms/epoch - 6ms/step
Epoch 28/1000
6/6 - 0s - loss: -5.2309e+00 - 32ms/epoch - 5ms/step
Epoch 29/1000
6/6 - 0s - loss: -5.2022e+00 - 34ms/epoch - 6ms/step
Epoch 30/1000
6/6 - 0s - loss: -5.2325e+00 - 34ms/epoch - 6ms/step
Epoch 31/1000
6/6 - 0s - loss: -5.2214e+00 - 35ms/epoch - 6ms/step
Epoch 32/1000
6/6 - 0s - loss: -5.2311e+00 - 33ms/epoch - 5ms/step
Epoch 33/1000
6/6 - 0s - loss: -5.2531e+00 - 33ms/epoch - 5ms/step
Epoch 34/1000
6/6 - 0s - loss: -5.2101e+00 - 33ms/epoch - 5ms/step
Epoch 35/1000
6/6 - 0s - loss: -5.2504e+00 - 33ms/epoch - 6ms/step
Epoch 36/1000
6/6 - 0s - loss: -5.2141e+00 - 32ms/epoch - 5ms/step
Epoch 37/1000
6/6 - 0s - loss: -5.1940e+00 - 33ms/epoch - 5ms/step
Epoch 38/1000
6/6 - 0s - loss: -5.1993e+00 - 33ms/epoch - 5ms/step
Epoch 39/1000
6/6 - 0s - loss: -5.2881e+00 - 34ms/epoch - 6ms/step
Epoch 40/1000
6/6 - 0s - loss: -5.3239e+00 - 33ms/epoch - 6ms/step
Epoch 41/1000
6/6 - 0s - loss: -5.3357e+00 - 33ms/epoch - 6ms/step
Epoch 42/1000
6/6 - 0s - loss: -5.3184e+00 - 33ms/epoch - 6ms/step
Epoch 43/1000
6/6 - 0s - loss: -5.3357e+00 - 34ms/epoch - 6ms/step
Epoch 44/1000
6/6 - 0s - loss: -5.3463e+00 - 32ms/epoch - 5ms/step
Epoch 45/1000
6/6 - 0s - loss: -5.3129e+00 - 33ms/epoch - 6ms/step
Epoch 46/1000
6/6 - 0s - loss: -5.3708e+00 - 34ms/epoch - 6ms/step
Epoch 47/1000
6/6 - 0s - loss: -5.3475e+00 - 36ms/epoch - 6ms/step
Epoch 48/1000
6/6 - 0s - loss: -5.3534e+00 - 32ms/epoch - 5ms/step
Epoch 49/1000
6/6 - 0s - loss: -5.3155e+00 - 32ms/epoch - 5ms/step
Epoch 50/1000
6/6 - 0s - loss: -5.3300e+00 - 35ms/epoch - 6ms/step
Epoch 51/1000
6/6 - 0s - loss: -5.3324e+00 - 33ms/epoch - 5ms/step
Epoch 52/1000
6/6 - 0s - loss: -5.3475e+00 - 33ms/epoch - 5ms/step
Epoch 53/1000
6/6 - 0s - loss: -5.3221e+00 - 31ms/epoch - 5ms/step
Epoch 54/1000
6/6 - 0s - loss: -5.3429e+00 - 34ms/epoch - 6ms/step
Epoch 55/1000
6/6 - 0s - loss: -5.3928e+00 - 37ms/epoch - 6ms/step
Epoch 56/1000
6/6 - 0s - loss: -5.3703e+00 - 32ms/epoch - 5ms/step
Epoch 57/1000
6/6 - 0s - loss: -5.3904e+00 - 33ms/epoch - 6ms/step
Epoch 58/1000
6/6 - 0s - loss: -5.3594e+00 - 31ms/epoch - 5ms/step
Epoch 59/1000
6/6 - 0s - loss: -5.3887e+00 - 35ms/epoch - 6ms/step
Epoch 60/1000
6/6 - 0s - loss: -5.3421e+00 - 34ms/epoch - 6ms/step
Epoch 61/1000
6/6 - 0s - loss: -5.3608e+00 - 33ms/epoch - 6ms/step
Epoch 62/1000
6/6 - 0s - loss: -5.3836e+00 - 33ms/epoch - 6ms/step
Epoch 63/1000
6/6 - 0s - loss: -5.4252e+00 - 35ms/epoch - 6ms/step
Epoch 64/1000
6/6 - 0s - loss: -5.3718e+00 - 34ms/epoch - 6ms/step
Epoch 65/1000
6/6 - 0s - loss: -5.3768e+00 - 34ms/epoch - 6ms/step
Epoch 66/1000
6/6 - 0s - loss: -5.4119e+00 - 32ms/epoch - 5ms/step
Epoch 67/1000
6/6 - 0s - loss: -5.4274e+00 - 32ms/epoch - 5ms/step
Epoch 68/1000
6/6 - 0s - loss: -5.4050e+00 - 33ms/epoch - 6ms/step
Epoch 69/1000
6/6 - 0s - loss: -5.4097e+00 - 34ms/epoch - 6ms/step
Epoch 70/1000
6/6 - 0s - loss: -5.3630e+00 - 34ms/epoch - 6ms/step
Epoch 71/1000
6/6 - 0s - loss: -5.3572e+00 - 39ms/epoch - 7ms/step
Epoch 72/1000
6/6 - 0s - loss: -5.4256e+00 - 31ms/epoch - 5ms/step
Epoch 73/1000
6/6 - 0s - loss: -5.4089e+00 - 34ms/epoch - 6ms/step
Epoch 74/1000
6/6 - 0s - loss: -5.4055e+00 - 34ms/epoch - 6ms/step
Epoch 75/1000
6/6 - 0s - loss: -5.4042e+00 - 33ms/epoch - 5ms/step
Epoch 76/1000
6/6 - 0s - loss: -5.3385e+00 - 32ms/epoch - 5ms/step
Epoch 77/1000
6/6 - 0s - loss: -5.3306e+00 - 38ms/epoch - 6ms/step
Epoch 78/1000
6/6 - 0s - loss: -5.3319e+00 - 35ms/epoch - 6ms/step
Epoch 79/1000
6/6 - 0s - loss: -5.3069e+00 - 33ms/epoch - 5ms/step
Epoch 80/1000
6/6 - 0s - loss: -5.3515e+00 - 32ms/epoch - 5ms/step
Epoch 81/1000
6/6 - 0s - loss: -5.3519e+00 - 32ms/epoch - 5ms/step
Epoch 82/1000
6/6 - 0s - loss: -5.3507e+00 - 32ms/epoch - 5ms/step
Epoch 83/1000
6/6 - 0s - loss: -5.2727e+00 - 34ms/epoch - 6ms/step
Epoch 84/1000
6/6 - 0s - loss: -5.2492e+00 - 34ms/epoch - 6ms/step
Epoch 85/1000
6/6 - 0s - loss: -5.2459e+00 - 34ms/epoch - 6ms/step
Epoch 86/1000
6/6 - 0s - loss: -5.2605e+00 - 34ms/epoch - 6ms/step
Epoch 87/1000
6/6 - 0s - loss: -5.2928e+00 - 31ms/epoch - 5ms/step
Epoch 88/1000
6/6 - 0s - loss: -5.3022e+00 - 35ms/epoch - 6ms/step
Epoch 89/1000
6/6 - 0s - loss: -5.3362e+00 - 31ms/epoch - 5ms/step
Epoch 90/1000
6/6 - 0s - loss: -5.3893e+00 - 33ms/epoch - 5ms/step
Epoch 91/1000
6/6 - 0s - loss: -5.3629e+00 - 33ms/epoch - 5ms/step
Epoch 92/1000
6/6 - 0s - loss: -5.3713e+00 - 35ms/epoch - 6ms/step
Epoch 93/1000
6/6 - 0s - loss: -5.3713e+00 - 33ms/epoch - 6ms/step
Epoch 94/1000
6/6 - 0s - loss: -5.4046e+00 - 34ms/epoch - 6ms/step
Epoch 95/1000
6/6 - 0s - loss: -5.4158e+00 - 33ms/epoch - 5ms/step
Epoch 96/1000
6/6 - 0s - loss: -5.4112e+00 - 36ms/epoch - 6ms/step
Epoch 97/1000
6/6 - 0s - loss: -5.4033e+00 - 33ms/epoch - 6ms/step
Epoch 98/1000
6/6 - 0s - loss: -5.3799e+00 - 32ms/epoch - 5ms/step
Epoch 99/1000
6/6 - 0s - loss: -5.3943e+00 - 32ms/epoch - 5ms/step
Epoch 100/1000
6/6 - 0s - loss: -5.4195e+00 - 34ms/epoch - 6ms/step
Epoch 101/1000
6/6 - 0s - loss: -5.3963e+00 - 34ms/epoch - 6ms/step
Epoch 102/1000
6/6 - 0s - loss: -5.4079e+00 - 33ms/epoch - 5ms/step
Epoch 103/1000
6/6 - 0s - loss: -5.4240e+00 - 30ms/epoch - 5ms/step
Epoch 104/1000
6/6 - 0s - loss: -5.4584e+00 - 35ms/epoch - 6ms/step
Epoch 105/1000
6/6 - 0s - loss: -5.4358e+00 - 38ms/epoch - 6ms/step
Epoch 106/1000
6/6 - 0s - loss: -5.4622e+00 - 34ms/epoch - 6ms/step
Epoch 107/1000
6/6 - 0s - loss: -5.4527e+00 - 33ms/epoch - 6ms/step
Epoch 108/1000
6/6 - 0s - loss: -5.4330e+00 - 33ms/epoch - 5ms/step
Epoch 109/1000
6/6 - 0s - loss: -5.4839e+00 - 31ms/epoch - 5ms/step
Epoch 110/1000
6/6 - 0s - loss: -5.4901e+00 - 36ms/epoch - 6ms/step
Epoch 111/1000
6/6 - 0s - loss: -5.4584e+00 - 34ms/epoch - 6ms/step
Epoch 112/1000
6/6 - 0s - loss: -5.4747e+00 - 33ms/epoch - 5ms/step
Epoch 113/1000
6/6 - 0s - loss: -5.4837e+00 - 32ms/epoch - 5ms/step
Epoch 114/1000
6/6 - 0s - loss: -5.4778e+00 - 33ms/epoch - 5ms/step
Epoch 115/1000
6/6 - 0s - loss: -5.4963e+00 - 33ms/epoch - 6ms/step
Epoch 116/1000
6/6 - 0s - loss: -5.4890e+00 - 33ms/epoch - 5ms/step
Epoch 117/1000
6/6 - 0s - loss: -5.4992e+00 - 32ms/epoch - 5ms/step
Epoch 118/1000
6/6 - 0s - loss: -5.4574e+00 - 33ms/epoch - 6ms/step
Epoch 119/1000
6/6 - 0s - loss: -5.4907e+00 - 32ms/epoch - 5ms/step
Epoch 120/1000
6/6 - 0s - loss: -5.4685e+00 - 32ms/epoch - 5ms/step
Epoch 121/1000
6/6 - 0s - loss: -5.4750e+00 - 37ms/epoch - 6ms/step
Epoch 122/1000
6/6 - 0s - loss: -5.4368e+00 - 33ms/epoch - 5ms/step
Epoch 123/1000
6/6 - 0s - loss: -5.4524e+00 - 31ms/epoch - 5ms/step
Epoch 124/1000
6/6 - 0s - loss: -5.4428e+00 - 34ms/epoch - 6ms/step
Epoch 125/1000
6/6 - 0s - loss: -5.4164e+00 - 42ms/epoch - 7ms/step
Epoch 126/1000
6/6 - 0s - loss: -5.4230e+00 - 33ms/epoch - 6ms/step
Epoch 127/1000
6/6 - 0s - loss: -5.4409e+00 - 32ms/epoch - 5ms/step
Epoch 128/1000
6/6 - 0s - loss: -5.4318e+00 - 32ms/epoch - 5ms/step
Epoch 129/1000
6/6 - 0s - loss: -5.4629e+00 - 33ms/epoch - 5ms/step
Epoch 130/1000
6/6 - 0s - loss: -5.4573e+00 - 33ms/epoch - 5ms/step
Epoch 131/1000
6/6 - 0s - loss: -5.4459e+00 - 34ms/epoch - 6ms/step
Epoch 132/1000
6/6 - 0s - loss: -5.4928e+00 - 32ms/epoch - 5ms/step
Epoch 133/1000
6/6 - 0s - loss: -5.4743e+00 - 33ms/epoch - 6ms/step
Epoch 134/1000
6/6 - 0s - loss: -5.5178e+00 - 33ms/epoch - 6ms/step
Epoch 135/1000
6/6 - 0s - loss: -5.5258e+00 - 34ms/epoch - 6ms/step
Epoch 136/1000
6/6 - 0s - loss: -5.5100e+00 - 34ms/epoch - 6ms/step
Epoch 137/1000
6/6 - 0s - loss: -5.4880e+00 - 31ms/epoch - 5ms/step
Epoch 138/1000
6/6 - 0s - loss: -5.4862e+00 - 35ms/epoch - 6ms/step
Epoch 139/1000
6/6 - 0s - loss: -5.4643e+00 - 33ms/epoch - 5ms/step
Epoch 140/1000
6/6 - 0s - loss: -5.4753e+00 - 34ms/epoch - 6ms/step
Epoch 141/1000
6/6 - 0s - loss: -5.5182e+00 - 33ms/epoch - 5ms/step
Epoch 142/1000
6/6 - 0s - loss: -5.4881e+00 - 32ms/epoch - 5ms/step
Epoch 143/1000
6/6 - 0s - loss: -5.5137e+00 - 37ms/epoch - 6ms/step
Epoch 144/1000
6/6 - 0s - loss: -5.4994e+00 - 35ms/epoch - 6ms/step
Epoch 145/1000
6/6 - 0s - loss: -5.5175e+00 - 32ms/epoch - 5ms/step
Epoch 146/1000
6/6 - 0s - loss: -5.5246e+00 - 33ms/epoch - 5ms/step
Epoch 147/1000
6/6 - 0s - loss: -5.5155e+00 - 34ms/epoch - 6ms/step
Epoch 148/1000
6/6 - 0s - loss: -5.5213e+00 - 33ms/epoch - 5ms/step
Epoch 149/1000
6/6 - 0s - loss: -5.5124e+00 - 35ms/epoch - 6ms/step
Epoch 150/1000
6/6 - 0s - loss: -5.5241e+00 - 33ms/epoch - 6ms/step
Epoch 151/1000
6/6 - 0s - loss: -5.5339e+00 - 35ms/epoch - 6ms/step
Epoch 152/1000
6/6 - 0s - loss: -5.5293e+00 - 33ms/epoch - 5ms/step
Epoch 153/1000
6/6 - 0s - loss: -5.5115e+00 - 32ms/epoch - 5ms/step
Epoch 154/1000
6/6 - 0s - loss: -5.5210e+00 - 34ms/epoch - 6ms/step
Epoch 155/1000
6/6 - 0s - loss: -5.5296e+00 - 39ms/epoch - 7ms/step
Epoch 156/1000
6/6 - 0s - loss: -5.5153e+00 - 33ms/epoch - 5ms/step
Epoch 157/1000
6/6 - 0s - loss: -5.5077e+00 - 32ms/epoch - 5ms/step
Epoch 158/1000
6/6 - 0s - loss: -5.4930e+00 - 32ms/epoch - 5ms/step
Epoch 159/1000
6/6 - 0s - loss: -5.4917e+00 - 35ms/epoch - 6ms/step
Epoch 160/1000
6/6 - 0s - loss: -5.4996e+00 - 33ms/epoch - 5ms/step
Epoch 161/1000
6/6 - 0s - loss: -5.5198e+00 - 36ms/epoch - 6ms/step
Epoch 162/1000
6/6 - 0s - loss: -5.5085e+00 - 34ms/epoch - 6ms/step
Epoch 163/1000
6/6 - 0s - loss: -5.5360e+00 - 33ms/epoch - 5ms/step
Epoch 164/1000
6/6 - 0s - loss: -5.5428e+00 - 34ms/epoch - 6ms/step
Epoch 165/1000
6/6 - 0s - loss: -5.5270e+00 - 37ms/epoch - 6ms/step
Epoch 166/1000
6/6 - 0s - loss: -5.5483e+00 - 33ms/epoch - 6ms/step
Epoch 167/1000
6/6 - 0s - loss: -5.5307e+00 - 34ms/epoch - 6ms/step
Epoch 168/1000
6/6 - 0s - loss: -5.5285e+00 - 35ms/epoch - 6ms/step
Epoch 169/1000
6/6 - 0s - loss: -5.5491e+00 - 34ms/epoch - 6ms/step
Epoch 170/1000
6/6 - 0s - loss: -5.5379e+00 - 31ms/epoch - 5ms/step
Epoch 171/1000
6/6 - 0s - loss: -5.5402e+00 - 33ms/epoch - 6ms/step
Epoch 172/1000
6/6 - 0s - loss: -5.5531e+00 - 35ms/epoch - 6ms/step
Epoch 173/1000
6/6 - 0s - loss: -5.5343e+00 - 33ms/epoch - 6ms/step
Epoch 174/1000
6/6 - 0s - loss: -5.5288e+00 - 32ms/epoch - 5ms/step
Epoch 175/1000
6/6 - 0s - loss: -5.5388e+00 - 32ms/epoch - 5ms/step
Epoch 176/1000
6/6 - 0s - loss: -5.5144e+00 - 32ms/epoch - 5ms/step
Epoch 177/1000
6/6 - 0s - loss: -5.5434e+00 - 35ms/epoch - 6ms/step
Epoch 178/1000
6/6 - 0s - loss: -5.5389e+00 - 31ms/epoch - 5ms/step
Epoch 179/1000
6/6 - 0s - loss: -5.5540e+00 - 33ms/epoch - 5ms/step
Epoch 180/1000
6/6 - 0s - loss: -5.5456e+00 - 32ms/epoch - 5ms/step
Epoch 181/1000
6/6 - 0s - loss: -5.5264e+00 - 34ms/epoch - 6ms/step
Epoch 182/1000
6/6 - 0s - loss: -5.5558e+00 - 32ms/epoch - 5ms/step
Epoch 183/1000
6/6 - 0s - loss: -5.5648e+00 - 35ms/epoch - 6ms/step
Epoch 184/1000
6/6 - 0s - loss: -5.5357e+00 - 33ms/epoch - 5ms/step
Epoch 185/1000
6/6 - 0s - loss: -5.5682e+00 - 36ms/epoch - 6ms/step
Epoch 186/1000
6/6 - 0s - loss: -5.5274e+00 - 33ms/epoch - 5ms/step
Epoch 187/1000
6/6 - 0s - loss: -5.5508e+00 - 33ms/epoch - 6ms/step
Epoch 188/1000
6/6 - 0s - loss: -5.5091e+00 - 34ms/epoch - 6ms/step
Epoch 189/1000
6/6 - 0s - loss: -5.4822e+00 - 35ms/epoch - 6ms/step
Epoch 190/1000
6/6 - 0s - loss: -5.5004e+00 - 36ms/epoch - 6ms/step
Epoch 191/1000
6/6 - 0s - loss: -5.4825e+00 - 34ms/epoch - 6ms/step
Epoch 192/1000
6/6 - 0s - loss: -5.5317e+00 - 33ms/epoch - 6ms/step
Epoch 193/1000
6/6 - 0s - loss: -5.5498e+00 - 37ms/epoch - 6ms/step
Epoch 194/1000
6/6 - 0s - loss: -5.5331e+00 - 32ms/epoch - 5ms/step
Epoch 195/1000
6/6 - 0s - loss: -5.5604e+00 - 32ms/epoch - 5ms/step
Epoch 196/1000
6/6 - 0s - loss: -5.5465e+00 - 33ms/epoch - 5ms/step
Epoch 197/1000
6/6 - 0s - loss: -5.5489e+00 - 33ms/epoch - 6ms/step
Epoch 198/1000
6/6 - 0s - loss: -5.5476e+00 - 33ms/epoch - 5ms/step
Epoch 199/1000
6/6 - 0s - loss: -5.5686e+00 - 38ms/epoch - 6ms/step
Epoch 200/1000
6/6 - 0s - loss: -5.5633e+00 - 33ms/epoch - 5ms/step
Epoch 201/1000
6/6 - 0s - loss: -5.5146e+00 - 33ms/epoch - 5ms/step
Epoch 202/1000
6/6 - 0s - loss: -5.4478e+00 - 33ms/epoch - 6ms/step
Epoch 203/1000
6/6 - 0s - loss: -5.4957e+00 - 33ms/epoch - 6ms/step
Epoch 204/1000
6/6 - 0s - loss: -5.5423e+00 - 36ms/epoch - 6ms/step
Epoch 205/1000
6/6 - 0s - loss: -5.5421e+00 - 34ms/epoch - 6ms/step
Epoch 206/1000
6/6 - 0s - loss: -5.5435e+00 - 33ms/epoch - 6ms/step
Epoch 207/1000
6/6 - 0s - loss: -5.5506e+00 - 34ms/epoch - 6ms/step
Epoch 208/1000
6/6 - 0s - loss: -5.5678e+00 - 31ms/epoch - 5ms/step
Epoch 209/1000
6/6 - 0s - loss: -5.5446e+00 - 32ms/epoch - 5ms/step
Epoch 210/1000
6/6 - 0s - loss: -5.5609e+00 - 33ms/epoch - 6ms/step
Epoch 211/1000
6/6 - 0s - loss: -5.5258e+00 - 34ms/epoch - 6ms/step
Epoch 212/1000
6/6 - 0s - loss: -5.5120e+00 - 32ms/epoch - 5ms/step
Epoch 213/1000
6/6 - 0s - loss: -5.4887e+00 - 32ms/epoch - 5ms/step
Epoch 214/1000
6/6 - 0s - loss: -5.4781e+00 - 31ms/epoch - 5ms/step
Epoch 215/1000
6/6 - 0s - loss: -5.4508e+00 - 38ms/epoch - 6ms/step
Epoch 216/1000
6/6 - 0s - loss: -5.5051e+00 - 32ms/epoch - 5ms/step
Epoch 217/1000
6/6 - 0s - loss: -5.5313e+00 - 34ms/epoch - 6ms/step
Epoch 218/1000
6/6 - 0s - loss: -5.5801e+00 - 33ms/epoch - 5ms/step
Epoch 219/1000
6/6 - 0s - loss: -5.5496e+00 - 37ms/epoch - 6ms/step
Epoch 220/1000
6/6 - 0s - loss: -5.5350e+00 - 36ms/epoch - 6ms/step
Epoch 221/1000
6/6 - 0s - loss: -5.5392e+00 - 31ms/epoch - 5ms/step
Epoch 222/1000
6/6 - 0s - loss: -5.5866e+00 - 32ms/epoch - 5ms/step
Epoch 223/1000
6/6 - 0s - loss: -5.5605e+00 - 34ms/epoch - 6ms/step
Epoch 224/1000
6/6 - 0s - loss: -5.5792e+00 - 33ms/epoch - 5ms/step
Epoch 225/1000
6/6 - 0s - loss: -5.5774e+00 - 33ms/epoch - 6ms/step
Epoch 226/1000
6/6 - 0s - loss: -5.5775e+00 - 34ms/epoch - 6ms/step
Epoch 227/1000
6/6 - 0s - loss: -5.5496e+00 - 34ms/epoch - 6ms/step
Epoch 228/1000
6/6 - 0s - loss: -5.5410e+00 - 33ms/epoch - 6ms/step
Epoch 229/1000
6/6 - 0s - loss: -5.5861e+00 - 32ms/epoch - 5ms/step
Epoch 230/1000
6/6 - 0s - loss: -5.5676e+00 - 37ms/epoch - 6ms/step
Epoch 231/1000
6/6 - 0s - loss: -5.5307e+00 - 33ms/epoch - 5ms/step
Epoch 232/1000
6/6 - 0s - loss: -5.5345e+00 - 36ms/epoch - 6ms/step
Epoch 233/1000
6/6 - 0s - loss: -5.5161e+00 - 34ms/epoch - 6ms/step
Epoch 234/1000
6/6 - 0s - loss: -5.5397e+00 - 35ms/epoch - 6ms/step
Epoch 235/1000
6/6 - 0s - loss: -5.5523e+00 - 37ms/epoch - 6ms/step
Epoch 236/1000
6/6 - 0s - loss: -5.5386e+00 - 32ms/epoch - 5ms/step
Epoch 237/1000
6/6 - 0s - loss: -5.5364e+00 - 34ms/epoch - 6ms/step
Epoch 238/1000
6/6 - 0s - loss: -5.5558e+00 - 32ms/epoch - 5ms/step
Epoch 239/1000
6/6 - 0s - loss: -5.5755e+00 - 34ms/epoch - 6ms/step
Epoch 240/1000
6/6 - 0s - loss: -5.5645e+00 - 34ms/epoch - 6ms/step
Epoch 241/1000
6/6 - 0s - loss: -5.5771e+00 - 32ms/epoch - 5ms/step
Epoch 242/1000
6/6 - 0s - loss: -5.5604e+00 - 32ms/epoch - 5ms/step
Epoch 243/1000
6/6 - 0s - loss: -5.5747e+00 - 32ms/epoch - 5ms/step
Epoch 244/1000
6/6 - 0s - loss: -5.5829e+00 - 37ms/epoch - 6ms/step
Epoch 245/1000
6/6 - 0s - loss: -5.5756e+00 - 32ms/epoch - 5ms/step
Epoch 246/1000
6/6 - 0s - loss: -5.5689e+00 - 33ms/epoch - 5ms/step
Epoch 247/1000
6/6 - 0s - loss: -5.6016e+00 - 36ms/epoch - 6ms/step
Epoch 248/1000
6/6 - 0s - loss: -5.5865e+00 - 34ms/epoch - 6ms/step
Epoch 249/1000
6/6 - 0s - loss: -5.5760e+00 - 31ms/epoch - 5ms/step
Epoch 250/1000
6/6 - 0s - loss: -5.5873e+00 - 33ms/epoch - 6ms/step
Epoch 251/1000
6/6 - 0s - loss: -5.5952e+00 - 35ms/epoch - 6ms/step
Epoch 252/1000
6/6 - 0s - loss: -5.5885e+00 - 36ms/epoch - 6ms/step
Epoch 253/1000
6/6 - 0s - loss: -5.5949e+00 - 33ms/epoch - 5ms/step
Epoch 254/1000
6/6 - 0s - loss: -5.6042e+00 - 33ms/epoch - 6ms/step
Epoch 255/1000
6/6 - 0s - loss: -5.5904e+00 - 33ms/epoch - 6ms/step
Epoch 256/1000
6/6 - 0s - loss: -5.5993e+00 - 34ms/epoch - 6ms/step
Epoch 257/1000
6/6 - 0s - loss: -5.6091e+00 - 33ms/epoch - 5ms/step
Epoch 258/1000
6/6 - 0s - loss: -5.5826e+00 - 38ms/epoch - 6ms/step
Epoch 259/1000
6/6 - 0s - loss: -5.5990e+00 - 32ms/epoch - 5ms/step
Epoch 260/1000
6/6 - 0s - loss: -5.6185e+00 - 38ms/epoch - 6ms/step
Epoch 261/1000
6/6 - 0s - loss: -5.6012e+00 - 32ms/epoch - 5ms/step
Epoch 262/1000
6/6 - 0s - loss: -5.5679e+00 - 31ms/epoch - 5ms/step
Epoch 263/1000
6/6 - 0s - loss: -5.5851e+00 - 36ms/epoch - 6ms/step
Epoch 264/1000
6/6 - 0s - loss: -5.5901e+00 - 34ms/epoch - 6ms/step
Epoch 265/1000
6/6 - 0s - loss: -5.5869e+00 - 33ms/epoch - 6ms/step
Epoch 266/1000
6/6 - 0s - loss: -5.5624e+00 - 32ms/epoch - 5ms/step
Epoch 267/1000
6/6 - 0s - loss: -5.5975e+00 - 33ms/epoch - 5ms/step
Epoch 268/1000
6/6 - 0s - loss: -5.5864e+00 - 33ms/epoch - 6ms/step
Epoch 269/1000
6/6 - 0s - loss: -5.5846e+00 - 35ms/epoch - 6ms/step
Epoch 270/1000
6/6 - 0s - loss: -5.5751e+00 - 33ms/epoch - 6ms/step
Epoch 271/1000
6/6 - 0s - loss: -5.5862e+00 - 32ms/epoch - 5ms/step
Epoch 272/1000
6/6 - 0s - loss: -5.5728e+00 - 31ms/epoch - 5ms/step
Epoch 273/1000
6/6 - 0s - loss: -5.5719e+00 - 34ms/epoch - 6ms/step
Epoch 274/1000
6/6 - 0s - loss: -5.5742e+00 - 32ms/epoch - 5ms/step
Epoch 275/1000
6/6 - 0s - loss: -5.5610e+00 - 34ms/epoch - 6ms/step
Epoch 276/1000
6/6 - 0s - loss: -5.5547e+00 - 35ms/epoch - 6ms/step
Epoch 277/1000
6/6 - 0s - loss: -5.5225e+00 - 33ms/epoch - 6ms/step
Epoch 278/1000
6/6 - 0s - loss: -5.5276e+00 - 33ms/epoch - 5ms/step
Epoch 279/1000
6/6 - 0s - loss: -5.4871e+00 - 34ms/epoch - 6ms/step
Epoch 280/1000
6/6 - 0s - loss: -5.5620e+00 - 33ms/epoch - 6ms/step
Epoch 281/1000
6/6 - 0s - loss: -5.5571e+00 - 34ms/epoch - 6ms/step
Epoch 282/1000
6/6 - 0s - loss: -5.5741e+00 - 33ms/epoch - 6ms/step
Epoch 283/1000
6/6 - 0s - loss: -5.5956e+00 - 33ms/epoch - 5ms/step
Epoch 284/1000
6/6 - 0s - loss: -5.5805e+00 - 32ms/epoch - 5ms/step
Epoch 285/1000
6/6 - 0s - loss: -5.6087e+00 - 37ms/epoch - 6ms/step
Epoch 286/1000
6/6 - 0s - loss: -5.5975e+00 - 37ms/epoch - 6ms/step
Epoch 287/1000
6/6 - 0s - loss: -5.6053e+00 - 36ms/epoch - 6ms/step
Epoch 288/1000
6/6 - 0s - loss: -5.6029e+00 - 34ms/epoch - 6ms/step
Epoch 289/1000
6/6 - 0s - loss: -5.5227e+00 - 34ms/epoch - 6ms/step
Epoch 290/1000
6/6 - 0s - loss: -5.4089e+00 - 34ms/epoch - 6ms/step
Epoch 291/1000
6/6 - 0s - loss: -5.4510e+00 - 32ms/epoch - 5ms/step
Epoch 292/1000
6/6 - 0s - loss: -5.5013e+00 - 32ms/epoch - 5ms/step
Epoch 293/1000
6/6 - 0s - loss: -5.5905e+00 - 33ms/epoch - 6ms/step
Epoch 294/1000
6/6 - 0s - loss: -5.5914e+00 - 33ms/epoch - 5ms/step
Epoch 295/1000
6/6 - 0s - loss: -5.5848e+00 - 32ms/epoch - 5ms/step
Epoch 296/1000
6/6 - 0s - loss: -5.5835e+00 - 35ms/epoch - 6ms/step
Epoch 297/1000
6/6 - 0s - loss: -5.5947e+00 - 32ms/epoch - 5ms/step
Epoch 298/1000
6/6 - 0s - loss: -5.5957e+00 - 31ms/epoch - 5ms/step
Epoch 299/1000
6/6 - 0s - loss: -5.6094e+00 - 33ms/epoch - 5ms/step
Epoch 300/1000
6/6 - 0s - loss: -5.6009e+00 - 30ms/epoch - 5ms/step
Epoch 301/1000
6/6 - 0s - loss: -5.5875e+00 - 32ms/epoch - 5ms/step
Epoch 302/1000
6/6 - 0s - loss: -5.5893e+00 - 35ms/epoch - 6ms/step
Epoch 303/1000
6/6 - 0s - loss: -5.5905e+00 - 34ms/epoch - 6ms/step
Epoch 304/1000
6/6 - 0s - loss: -5.6033e+00 - 35ms/epoch - 6ms/step
Epoch 305/1000
6/6 - 0s - loss: -5.6118e+00 - 31ms/epoch - 5ms/step
Epoch 306/1000
6/6 - 0s - loss: -5.6115e+00 - 32ms/epoch - 5ms/step
Epoch 307/1000
6/6 - 0s - loss: -5.5922e+00 - 32ms/epoch - 5ms/step
Epoch 308/1000
6/6 - 0s - loss: -5.6042e+00 - 33ms/epoch - 6ms/step
Epoch 309/1000
6/6 - 0s - loss: -5.6253e+00 - 34ms/epoch - 6ms/step
Epoch 310/1000
6/6 - 0s - loss: -5.6182e+00 - 34ms/epoch - 6ms/step
Epoch 311/1000
6/6 - 0s - loss: -5.5998e+00 - 34ms/epoch - 6ms/step
Epoch 312/1000
6/6 - 0s - loss: -5.6138e+00 - 34ms/epoch - 6ms/step
Epoch 313/1000
6/6 - 0s - loss: -5.6033e+00 - 32ms/epoch - 5ms/step
Epoch 314/1000
6/6 - 0s - loss: -5.6123e+00 - 33ms/epoch - 5ms/step
Epoch 315/1000
6/6 - 0s - loss: -5.6171e+00 - 30ms/epoch - 5ms/step
Epoch 316/1000
6/6 - 0s - loss: -5.5732e+00 - 32ms/epoch - 5ms/step
Epoch 317/1000
6/6 - 0s - loss: -5.5990e+00 - 36ms/epoch - 6ms/step
Epoch 318/1000
6/6 - 0s - loss: -5.5971e+00 - 30ms/epoch - 5ms/step
Epoch 319/1000
6/6 - 0s - loss: -5.6237e+00 - 31ms/epoch - 5ms/step
Epoch 320/1000
6/6 - 0s - loss: -5.6180e+00 - 32ms/epoch - 5ms/step
Epoch 321/1000
6/6 - 0s - loss: -5.5868e+00 - 34ms/epoch - 6ms/step
Epoch 322/1000
6/6 - 0s - loss: -5.5975e+00 - 35ms/epoch - 6ms/step
Epoch 323/1000
6/6 - 0s - loss: -5.5914e+00 - 35ms/epoch - 6ms/step
Epoch 324/1000
6/6 - 0s - loss: -5.5918e+00 - 33ms/epoch - 6ms/step
Epoch 325/1000
6/6 - 0s - loss: -5.6084e+00 - 32ms/epoch - 5ms/step
Epoch 326/1000
6/6 - 0s - loss: -5.5778e+00 - 32ms/epoch - 5ms/step
Epoch 327/1000
6/6 - 0s - loss: -5.6182e+00 - 33ms/epoch - 6ms/step
Epoch 328/1000
6/6 - 0s - loss: -5.5879e+00 - 34ms/epoch - 6ms/step
Epoch 329/1000
6/6 - 0s - loss: -5.5979e+00 - 33ms/epoch - 6ms/step
Epoch 330/1000
6/6 - 0s - loss: -5.6004e+00 - 37ms/epoch - 6ms/step
Epoch 331/1000
6/6 - 0s - loss: -5.5921e+00 - 33ms/epoch - 6ms/step
Epoch 332/1000
6/6 - 0s - loss: -5.6101e+00 - 32ms/epoch - 5ms/step
Epoch 333/1000
6/6 - 0s - loss: -5.6086e+00 - 33ms/epoch - 5ms/step
Epoch 334/1000
6/6 - 0s - loss: -5.6069e+00 - 35ms/epoch - 6ms/step
Epoch 335/1000
6/6 - 0s - loss: -5.6159e+00 - 31ms/epoch - 5ms/step
Epoch 336/1000
6/6 - 0s - loss: -5.6178e+00 - 34ms/epoch - 6ms/step
Epoch 337/1000
6/6 - 0s - loss: -5.5871e+00 - 35ms/epoch - 6ms/step
Epoch 338/1000
6/6 - 0s - loss: -5.5985e+00 - 34ms/epoch - 6ms/step
Epoch 339/1000
6/6 - 0s - loss: -5.5861e+00 - 33ms/epoch - 6ms/step
Epoch 340/1000
6/6 - 0s - loss: -5.5925e+00 - 35ms/epoch - 6ms/step
Epoch 341/1000
6/6 - 0s - loss: -5.5871e+00 - 34ms/epoch - 6ms/step
Epoch 342/1000
6/6 - 0s - loss: -5.5876e+00 - 36ms/epoch - 6ms/step
Epoch 343/1000
6/6 - 0s - loss: -5.6152e+00 - 31ms/epoch - 5ms/step
Epoch 344/1000
6/6 - 0s - loss: -5.5936e+00 - 31ms/epoch - 5ms/step
Epoch 345/1000
6/6 - 0s - loss: -5.5957e+00 - 33ms/epoch - 6ms/step
Epoch 346/1000
6/6 - 0s - loss: -5.5975e+00 - 37ms/epoch - 6ms/step
Epoch 347/1000
6/6 - 0s - loss: -5.6209e+00 - 35ms/epoch - 6ms/step
Epoch 348/1000
6/6 - 0s - loss: -5.6326e+00 - 31ms/epoch - 5ms/step
Epoch 349/1000
6/6 - 0s - loss: -5.5872e+00 - 35ms/epoch - 6ms/step
Epoch 350/1000
6/6 - 0s - loss: -5.5997e+00 - 35ms/epoch - 6ms/step
Epoch 351/1000
6/6 - 0s - loss: -5.6102e+00 - 35ms/epoch - 6ms/step
Epoch 352/1000
6/6 - 0s - loss: -5.5809e+00 - 33ms/epoch - 6ms/step
Epoch 353/1000
6/6 - 0s - loss: -5.6089e+00 - 32ms/epoch - 5ms/step
Epoch 354/1000
6/6 - 0s - loss: -5.6004e+00 - 35ms/epoch - 6ms/step
Epoch 355/1000
6/6 - 0s - loss: -5.5835e+00 - 31ms/epoch - 5ms/step
Epoch 356/1000
6/6 - 0s - loss: -5.6020e+00 - 38ms/epoch - 6ms/step
Epoch 357/1000
6/6 - 0s - loss: -5.6386e+00 - 34ms/epoch - 6ms/step
Epoch 358/1000
6/6 - 0s - loss: -5.6079e+00 - 33ms/epoch - 5ms/step
Epoch 359/1000
6/6 - 0s - loss: -5.6571e+00 - 34ms/epoch - 6ms/step
Epoch 360/1000
6/6 - 0s - loss: -5.6092e+00 - 35ms/epoch - 6ms/step
Epoch 361/1000
6/6 - 0s - loss: -5.6158e+00 - 31ms/epoch - 5ms/step
Epoch 362/1000
6/6 - 0s - loss: -5.6130e+00 - 35ms/epoch - 6ms/step
Epoch 363/1000
6/6 - 0s - loss: -5.6297e+00 - 34ms/epoch - 6ms/step
Epoch 364/1000
6/6 - 0s - loss: -5.6322e+00 - 33ms/epoch - 6ms/step
Epoch 365/1000
6/6 - 0s - loss: -5.6303e+00 - 33ms/epoch - 5ms/step
Epoch 366/1000
6/6 - 0s - loss: -5.6279e+00 - 34ms/epoch - 6ms/step
Epoch 367/1000
6/6 - 0s - loss: -5.6119e+00 - 32ms/epoch - 5ms/step
Epoch 368/1000
6/6 - 0s - loss: -5.5965e+00 - 32ms/epoch - 5ms/step
Epoch 369/1000
6/6 - 0s - loss: -5.6170e+00 - 32ms/epoch - 5ms/step
Epoch 370/1000
6/6 - 0s - loss: -5.6117e+00 - 36ms/epoch - 6ms/step
Epoch 371/1000
6/6 - 0s - loss: -5.6118e+00 - 32ms/epoch - 5ms/step
Epoch 372/1000
6/6 - 0s - loss: -5.6166e+00 - 34ms/epoch - 6ms/step
Epoch 373/1000
6/6 - 0s - loss: -5.6408e+00 - 34ms/epoch - 6ms/step
Epoch 374/1000
6/6 - 0s - loss: -5.6154e+00 - 34ms/epoch - 6ms/step
Epoch 375/1000
6/6 - 0s - loss: -5.6111e+00 - 32ms/epoch - 5ms/step
Epoch 376/1000
6/6 - 0s - loss: -5.6244e+00 - 32ms/epoch - 5ms/step
Epoch 377/1000
6/6 - 0s - loss: -5.6367e+00 - 31ms/epoch - 5ms/step
Epoch 378/1000
6/6 - 0s - loss: -5.6229e+00 - 32ms/epoch - 5ms/step
Epoch 379/1000
6/6 - 0s - loss: -5.6354e+00 - 32ms/epoch - 5ms/step
Epoch 380/1000
6/6 - 0s - loss: -5.6445e+00 - 34ms/epoch - 6ms/step
Epoch 381/1000
6/6 - 0s - loss: -5.6229e+00 - 32ms/epoch - 5ms/step
Epoch 382/1000
6/6 - 0s - loss: -5.6164e+00 - 32ms/epoch - 5ms/step
Epoch 383/1000
6/6 - 0s - loss: -5.6491e+00 - 33ms/epoch - 6ms/step
Epoch 384/1000
6/6 - 0s - loss: -5.6329e+00 - 32ms/epoch - 5ms/step
Epoch 385/1000
6/6 - 0s - loss: -5.6302e+00 - 34ms/epoch - 6ms/step
Epoch 386/1000
6/6 - 0s - loss: -5.6072e+00 - 31ms/epoch - 5ms/step
Epoch 387/1000
6/6 - 0s - loss: -5.6199e+00 - 33ms/epoch - 5ms/step
Epoch 388/1000
6/6 - 0s - loss: -5.5900e+00 - 32ms/epoch - 5ms/step
Epoch 389/1000
6/6 - 0s - loss: -5.6192e+00 - 37ms/epoch - 6ms/step
Epoch 390/1000
6/6 - 0s - loss: -5.6158e+00 - 32ms/epoch - 5ms/step
Epoch 391/1000
6/6 - 0s - loss: -5.6152e+00 - 35ms/epoch - 6ms/step
Epoch 392/1000
6/6 - 0s - loss: -5.6059e+00 - 34ms/epoch - 6ms/step
Epoch 393/1000
6/6 - 0s - loss: -5.6359e+00 - 33ms/epoch - 6ms/step
Epoch 394/1000
6/6 - 0s - loss: -5.6399e+00 - 33ms/epoch - 6ms/step
Epoch 395/1000
6/6 - 0s - loss: -5.6137e+00 - 36ms/epoch - 6ms/step
Epoch 396/1000
6/6 - 0s - loss: -5.6334e+00 - 34ms/epoch - 6ms/step
Epoch 397/1000
6/6 - 0s - loss: -5.6032e+00 - 32ms/epoch - 5ms/step
Epoch 398/1000
6/6 - 0s - loss: -5.6085e+00 - 33ms/epoch - 5ms/step
Epoch 399/1000
6/6 - 0s - loss: -5.6205e+00 - 33ms/epoch - 5ms/step
Epoch 400/1000
6/6 - 0s - loss: -5.6259e+00 - 35ms/epoch - 6ms/step
Epoch 401/1000
6/6 - 0s - loss: -5.6449e+00 - 35ms/epoch - 6ms/step
Epoch 402/1000
6/6 - 0s - loss: -5.6132e+00 - 35ms/epoch - 6ms/step
Epoch 403/1000
6/6 - 0s - loss: -5.6164e+00 - 31ms/epoch - 5ms/step
Epoch 404/1000
6/6 - 0s - loss: -5.6258e+00 - 36ms/epoch - 6ms/step
Epoch 405/1000
6/6 - 0s - loss: -5.6332e+00 - 32ms/epoch - 5ms/step
Epoch 406/1000
6/6 - 0s - loss: -5.6345e+00 - 31ms/epoch - 5ms/step
Epoch 407/1000
6/6 - 0s - loss: -5.6226e+00 - 30ms/epoch - 5ms/step
Epoch 408/1000
6/6 - 0s - loss: -5.6049e+00 - 36ms/epoch - 6ms/step
Epoch 409/1000
6/6 - 0s - loss: -5.6223e+00 - 33ms/epoch - 6ms/step
Epoch 410/1000
6/6 - 0s - loss: -5.6332e+00 - 35ms/epoch - 6ms/step
Epoch 411/1000
6/6 - 0s - loss: -5.6343e+00 - 37ms/epoch - 6ms/step
Epoch 412/1000
6/6 - 0s - loss: -5.6231e+00 - 32ms/epoch - 5ms/step
Epoch 413/1000
6/6 - 0s - loss: -5.6207e+00 - 35ms/epoch - 6ms/step
Epoch 414/1000
6/6 - 0s - loss: -5.6174e+00 - 33ms/epoch - 5ms/step
Epoch 415/1000
6/6 - 0s - loss: -5.6378e+00 - 33ms/epoch - 6ms/step
Epoch 416/1000
6/6 - 0s - loss: -5.6380e+00 - 32ms/epoch - 5ms/step
Epoch 417/1000
6/6 - 0s - loss: -5.6118e+00 - 35ms/epoch - 6ms/step
Epoch 418/1000
6/6 - 0s - loss: -5.6443e+00 - 34ms/epoch - 6ms/step
Epoch 419/1000
6/6 - 0s - loss: -5.6408e+00 - 34ms/epoch - 6ms/step
Epoch 420/1000
6/6 - 0s - loss: -5.6401e+00 - 30ms/epoch - 5ms/step
Epoch 421/1000
6/6 - 0s - loss: -5.6199e+00 - 31ms/epoch - 5ms/step
Epoch 422/1000
6/6 - 0s - loss: -5.6477e+00 - 38ms/epoch - 6ms/step
Epoch 423/1000
6/6 - 0s - loss: -5.6395e+00 - 32ms/epoch - 5ms/step
Epoch 424/1000
6/6 - 0s - loss: -5.6296e+00 - 34ms/epoch - 6ms/step
Epoch 425/1000
6/6 - 0s - loss: -5.6214e+00 - 32ms/epoch - 5ms/step
Epoch 426/1000
6/6 - 0s - loss: -5.6418e+00 - 36ms/epoch - 6ms/step
Epoch 427/1000
6/6 - 0s - loss: -5.6058e+00 - 34ms/epoch - 6ms/step
Epoch 428/1000
6/6 - 0s - loss: -5.6447e+00 - 32ms/epoch - 5ms/step
Epoch 429/1000
6/6 - 0s - loss: -5.6148e+00 - 34ms/epoch - 6ms/step
Epoch 430/1000
6/6 - 0s - loss: -5.6399e+00 - 33ms/epoch - 6ms/step
Epoch 431/1000
6/6 - 0s - loss: -5.6248e+00 - 32ms/epoch - 5ms/step
Epoch 432/1000
6/6 - 0s - loss: -5.6407e+00 - 36ms/epoch - 6ms/step
Epoch 433/1000
6/6 - 0s - loss: -5.6335e+00 - 33ms/epoch - 5ms/step
Epoch 434/1000
6/6 - 0s - loss: -5.6260e+00 - 32ms/epoch - 5ms/step
Epoch 435/1000
6/6 - 0s - loss: -5.6206e+00 - 35ms/epoch - 6ms/step
Epoch 436/1000
6/6 - 0s - loss: -5.6142e+00 - 36ms/epoch - 6ms/step
Epoch 437/1000
6/6 - 0s - loss: -5.5946e+00 - 32ms/epoch - 5ms/step
Epoch 438/1000
6/6 - 0s - loss: -5.6255e+00 - 35ms/epoch - 6ms/step
Epoch 439/1000
6/6 - 0s - loss: -5.6130e+00 - 34ms/epoch - 6ms/step
Epoch 440/1000
6/6 - 0s - loss: -5.6183e+00 - 34ms/epoch - 6ms/step
Epoch 441/1000
6/6 - 0s - loss: -5.6095e+00 - 35ms/epoch - 6ms/step
Epoch 442/1000
6/6 - 0s - loss: -5.6179e+00 - 32ms/epoch - 5ms/step
Epoch 443/1000
6/6 - 0s - loss: -5.6105e+00 - 36ms/epoch - 6ms/step
Epoch 444/1000
6/6 - 0s - loss: -5.6323e+00 - 33ms/epoch - 5ms/step
Epoch 445/1000
6/6 - 0s - loss: -5.6353e+00 - 34ms/epoch - 6ms/step
Epoch 446/1000
6/6 - 0s - loss: -5.5937e+00 - 34ms/epoch - 6ms/step
Epoch 447/1000
6/6 - 0s - loss: -5.6293e+00 - 36ms/epoch - 6ms/step
Epoch 448/1000
6/6 - 0s - loss: -5.6145e+00 - 40ms/epoch - 7ms/step
Epoch 449/1000
6/6 - 0s - loss: -5.5208e+00 - 34ms/epoch - 6ms/step
Epoch 450/1000
6/6 - 0s - loss: -5.5179e+00 - 33ms/epoch - 5ms/step
Epoch 451/1000
6/6 - 0s - loss: -5.6026e+00 - 34ms/epoch - 6ms/step
Epoch 452/1000
6/6 - 0s - loss: -5.5797e+00 - 35ms/epoch - 6ms/step
Epoch 453/1000
6/6 - 0s - loss: -5.6037e+00 - 33ms/epoch - 6ms/step
Epoch 454/1000
6/6 - 0s - loss: -5.6084e+00 - 31ms/epoch - 5ms/step
Epoch 455/1000
6/6 - 0s - loss: -5.6190e+00 - 34ms/epoch - 6ms/step
Epoch 456/1000
6/6 - 0s - loss: -5.6218e+00 - 33ms/epoch - 5ms/step
Epoch 457/1000
6/6 - 0s - loss: -5.5979e+00 - 34ms/epoch - 6ms/step
Epoch 458/1000
6/6 - 0s - loss: -5.6010e+00 - 34ms/epoch - 6ms/step
Epoch 459/1000
6/6 - 0s - loss: -5.5787e+00 - 34ms/epoch - 6ms/step
Epoch 460/1000
6/6 - 0s - loss: -5.5978e+00 - 36ms/epoch - 6ms/step
Epoch 461/1000
6/6 - 0s - loss: -5.5831e+00 - 34ms/epoch - 6ms/step
Epoch 462/1000
6/6 - 0s - loss: -5.5910e+00 - 34ms/epoch - 6ms/step
Epoch 463/1000
6/6 - 0s - loss: -5.6196e+00 - 33ms/epoch - 5ms/step
Epoch 464/1000
6/6 - 0s - loss: -5.6385e+00 - 35ms/epoch - 6ms/step
Epoch 465/1000
6/6 - 0s - loss: -5.6153e+00 - 33ms/epoch - 5ms/step
Epoch 466/1000
6/6 - 0s - loss: -5.4668e+00 - 34ms/epoch - 6ms/step
Epoch 467/1000
6/6 - 0s - loss: -5.3044e+00 - 34ms/epoch - 6ms/step
Epoch 468/1000
6/6 - 0s - loss: -5.2397e+00 - 38ms/epoch - 6ms/step
Epoch 469/1000
6/6 - 0s - loss: -5.2983e+00 - 34ms/epoch - 6ms/step
Epoch 470/1000
6/6 - 0s - loss: -5.3671e+00 - 34ms/epoch - 6ms/step
Epoch 471/1000
6/6 - 0s - loss: -5.4072e+00 - 32ms/epoch - 5ms/step
Epoch 472/1000
6/6 - 0s - loss: -5.5141e+00 - 35ms/epoch - 6ms/step
Epoch 473/1000
6/6 - 0s - loss: -5.5317e+00 - 34ms/epoch - 6ms/step
Epoch 474/1000
6/6 - 0s - loss: -5.5638e+00 - 36ms/epoch - 6ms/step
Epoch 475/1000
6/6 - 0s - loss: -5.6075e+00 - 32ms/epoch - 5ms/step
Epoch 476/1000
6/6 - 0s - loss: -5.5967e+00 - 31ms/epoch - 5ms/step
Epoch 477/1000
6/6 - 0s - loss: -5.5867e+00 - 33ms/epoch - 6ms/step
Epoch 478/1000
6/6 - 0s - loss: -5.5450e+00 - 34ms/epoch - 6ms/step
Epoch 479/1000
6/6 - 0s - loss: -5.5413e+00 - 31ms/epoch - 5ms/step
Epoch 480/1000
6/6 - 0s - loss: -5.5472e+00 - 34ms/epoch - 6ms/step
Epoch 481/1000
6/6 - 0s - loss: -5.5879e+00 - 34ms/epoch - 6ms/step
Epoch 482/1000
6/6 - 0s - loss: -5.6055e+00 - 34ms/epoch - 6ms/step
Epoch 483/1000
6/6 - 0s - loss: -5.6157e+00 - 33ms/epoch - 5ms/step
Epoch 484/1000
6/6 - 0s - loss: -5.6275e+00 - 33ms/epoch - 6ms/step
Epoch 485/1000
6/6 - 0s - loss: -5.6236e+00 - 33ms/epoch - 5ms/step
Epoch 486/1000
6/6 - 0s - loss: -5.6564e+00 - 36ms/epoch - 6ms/step
Epoch 487/1000
6/6 - 0s - loss: -5.6313e+00 - 32ms/epoch - 5ms/step
Epoch 488/1000
6/6 - 0s - loss: -5.6433e+00 - 32ms/epoch - 5ms/step
Epoch 489/1000
6/6 - 0s - loss: -5.6058e+00 - 32ms/epoch - 5ms/step
Epoch 490/1000
6/6 - 0s - loss: -5.6366e+00 - 35ms/epoch - 6ms/step
Epoch 491/1000
6/6 - 0s - loss: -5.6186e+00 - 33ms/epoch - 6ms/step
Epoch 492/1000
6/6 - 0s - loss: -5.6241e+00 - 34ms/epoch - 6ms/step
Epoch 493/1000
6/6 - 0s - loss: -5.6142e+00 - 31ms/epoch - 5ms/step
Epoch 494/1000
6/6 - 0s - loss: -5.6118e+00 - 33ms/epoch - 5ms/step
Epoch 495/1000
6/6 - 0s - loss: -5.6245e+00 - 32ms/epoch - 5ms/step
Epoch 496/1000
6/6 - 0s - loss: -5.6329e+00 - 32ms/epoch - 5ms/step
Epoch 497/1000
6/6 - 0s - loss: -5.6202e+00 - 34ms/epoch - 6ms/step
Epoch 498/1000
6/6 - 0s - loss: -5.6323e+00 - 35ms/epoch - 6ms/step
Epoch 499/1000
6/6 - 0s - loss: -5.6245e+00 - 35ms/epoch - 6ms/step
Epoch 500/1000
6/6 - 0s - loss: -5.6193e+00 - 33ms/epoch - 5ms/step
Epoch 501/1000
6/6 - 0s - loss: -5.6489e+00 - 33ms/epoch - 5ms/step
Epoch 502/1000
6/6 - 0s - loss: -5.6339e+00 - 38ms/epoch - 6ms/step
Epoch 503/1000
6/6 - 0s - loss: -5.6579e+00 - 35ms/epoch - 6ms/step
Epoch 504/1000
6/6 - 0s - loss: -5.6122e+00 - 36ms/epoch - 6ms/step
Epoch 505/1000
6/6 - 0s - loss: -5.6357e+00 - 36ms/epoch - 6ms/step
Epoch 506/1000
6/6 - 0s - loss: -5.6373e+00 - 32ms/epoch - 5ms/step
Epoch 507/1000
6/6 - 0s - loss: -5.6188e+00 - 31ms/epoch - 5ms/step
Epoch 508/1000
6/6 - 0s - loss: -5.6432e+00 - 33ms/epoch - 5ms/step
Epoch 509/1000
6/6 - 0s - loss: -5.6365e+00 - 31ms/epoch - 5ms/step
Epoch 510/1000
6/6 - 0s - loss: -5.6285e+00 - 32ms/epoch - 5ms/step
Epoch 511/1000
6/6 - 0s - loss: -5.6187e+00 - 33ms/epoch - 6ms/step
Epoch 512/1000
6/6 - 0s - loss: -5.6517e+00 - 32ms/epoch - 5ms/step
Epoch 513/1000
6/6 - 0s - loss: -5.6508e+00 - 32ms/epoch - 5ms/step
Epoch 514/1000
6/6 - 0s - loss: -5.6263e+00 - 32ms/epoch - 5ms/step
Epoch 515/1000
6/6 - 0s - loss: -5.6664e+00 - 36ms/epoch - 6ms/step
Epoch 516/1000
6/6 - 0s - loss: -5.6284e+00 - 33ms/epoch - 6ms/step
Epoch 517/1000
6/6 - 0s - loss: -5.6336e+00 - 33ms/epoch - 5ms/step
Epoch 518/1000
6/6 - 0s - loss: -5.6479e+00 - 33ms/epoch - 6ms/step
Epoch 519/1000
6/6 - 0s - loss: -5.6640e+00 - 33ms/epoch - 6ms/step
Epoch 520/1000
6/6 - 0s - loss: -5.6436e+00 - 36ms/epoch - 6ms/step
Epoch 521/1000
6/6 - 0s - loss: -5.6378e+00 - 36ms/epoch - 6ms/step
Epoch 522/1000
6/6 - 0s - loss: -5.6487e+00 - 37ms/epoch - 6ms/step
Epoch 523/1000
6/6 - 0s - loss: -5.6154e+00 - 40ms/epoch - 7ms/step
Epoch 524/1000
6/6 - 0s - loss: -5.6397e+00 - 39ms/epoch - 6ms/step
Epoch 525/1000
6/6 - 0s - loss: -5.6181e+00 - 37ms/epoch - 6ms/step
Epoch 526/1000
6/6 - 0s - loss: -5.6390e+00 - 37ms/epoch - 6ms/step
Epoch 527/1000
6/6 - 0s - loss: -5.6405e+00 - 32ms/epoch - 5ms/step
Epoch 528/1000
6/6 - 0s - loss: -5.6366e+00 - 38ms/epoch - 6ms/step
Epoch 529/1000
6/6 - 0s - loss: -5.6418e+00 - 38ms/epoch - 6ms/step
Epoch 530/1000
6/6 - 0s - loss: -5.6577e+00 - 38ms/epoch - 6ms/step
Epoch 531/1000
6/6 - 0s - loss: -5.6580e+00 - 38ms/epoch - 6ms/step
Epoch 532/1000
6/6 - 0s - loss: -5.6474e+00 - 34ms/epoch - 6ms/step
Epoch 533/1000
6/6 - 0s - loss: -5.6393e+00 - 37ms/epoch - 6ms/step
Epoch 534/1000
6/6 - 0s - loss: -5.6470e+00 - 34ms/epoch - 6ms/step
Epoch 535/1000
6/6 - 0s - loss: -5.6431e+00 - 37ms/epoch - 6ms/step
Epoch 536/1000
6/6 - 0s - loss: -5.6294e+00 - 37ms/epoch - 6ms/step
Epoch 537/1000
6/6 - 0s - loss: -5.6456e+00 - 34ms/epoch - 6ms/step
Epoch 538/1000
6/6 - 0s - loss: -5.6637e+00 - 35ms/epoch - 6ms/step
Epoch 539/1000
6/6 - 0s - loss: -5.6478e+00 - 37ms/epoch - 6ms/step
Epoch 540/1000
6/6 - 0s - loss: -5.6167e+00 - 34ms/epoch - 6ms/step
Epoch 541/1000
6/6 - 0s - loss: -5.6391e+00 - 33ms/epoch - 6ms/step
Epoch 542/1000
6/6 - 0s - loss: -5.6714e+00 - 33ms/epoch - 6ms/step
Epoch 543/1000
6/6 - 0s - loss: -5.6526e+00 - 35ms/epoch - 6ms/step
Epoch 544/1000
6/6 - 0s - loss: -5.6433e+00 - 33ms/epoch - 6ms/step
Epoch 545/1000
6/6 - 0s - loss: -5.6526e+00 - 34ms/epoch - 6ms/step
Epoch 546/1000
6/6 - 0s - loss: -5.6403e+00 - 32ms/epoch - 5ms/step
Epoch 547/1000
6/6 - 0s - loss: -5.6579e+00 - 33ms/epoch - 6ms/step
Epoch 548/1000
6/6 - 0s - loss: -5.6478e+00 - 36ms/epoch - 6ms/step
Epoch 549/1000
6/6 - 0s - loss: -5.6510e+00 - 34ms/epoch - 6ms/step
Epoch 550/1000
6/6 - 0s - loss: -5.6488e+00 - 33ms/epoch - 5ms/step
Epoch 551/1000
6/6 - 0s - loss: -5.6515e+00 - 31ms/epoch - 5ms/step
Epoch 552/1000
6/6 - 0s - loss: -5.6737e+00 - 34ms/epoch - 6ms/step
Epoch 553/1000
6/6 - 0s - loss: -5.6652e+00 - 35ms/epoch - 6ms/step
Epoch 554/1000
6/6 - 0s - loss: -5.6472e+00 - 34ms/epoch - 6ms/step
Epoch 555/1000
6/6 - 0s - loss: -5.6531e+00 - 34ms/epoch - 6ms/step
Epoch 556/1000
6/6 - 0s - loss: -5.6467e+00 - 35ms/epoch - 6ms/step
Epoch 557/1000
6/6 - 0s - loss: -5.6441e+00 - 34ms/epoch - 6ms/step
Epoch 558/1000
6/6 - 0s - loss: -5.6490e+00 - 36ms/epoch - 6ms/step
Epoch 559/1000
6/6 - 0s - loss: -5.6579e+00 - 34ms/epoch - 6ms/step
Epoch 560/1000
6/6 - 0s - loss: -5.6553e+00 - 34ms/epoch - 6ms/step
Epoch 561/1000
6/6 - 0s - loss: -5.6685e+00 - 31ms/epoch - 5ms/step
Epoch 562/1000
6/6 - 0s - loss: -5.6584e+00 - 33ms/epoch - 5ms/step
Epoch 563/1000
6/6 - 0s - loss: -5.6688e+00 - 32ms/epoch - 5ms/step
Epoch 564/1000
6/6 - 0s - loss: -5.6615e+00 - 37ms/epoch - 6ms/step
Epoch 565/1000
6/6 - 0s - loss: -5.6565e+00 - 32ms/epoch - 5ms/step
Epoch 566/1000
6/6 - 0s - loss: -5.6673e+00 - 33ms/epoch - 5ms/step
Epoch 567/1000
6/6 - 0s - loss: -5.6690e+00 - 36ms/epoch - 6ms/step
Epoch 568/1000
6/6 - 0s - loss: -5.6602e+00 - 32ms/epoch - 5ms/step
Epoch 569/1000
6/6 - 0s - loss: -5.6657e+00 - 33ms/epoch - 5ms/step
Epoch 570/1000
6/6 - 0s - loss: -5.6603e+00 - 32ms/epoch - 5ms/step
Epoch 571/1000
6/6 - 0s - loss: -5.6617e+00 - 34ms/epoch - 6ms/step
Epoch 572/1000
6/6 - 0s - loss: -5.6700e+00 - 35ms/epoch - 6ms/step
Epoch 573/1000
6/6 - 0s - loss: -5.6461e+00 - 34ms/epoch - 6ms/step
Epoch 574/1000
6/6 - 0s - loss: -5.6082e+00 - 35ms/epoch - 6ms/step
Epoch 575/1000
6/6 - 0s - loss: -5.6523e+00 - 36ms/epoch - 6ms/step
Epoch 576/1000
6/6 - 0s - loss: -5.6326e+00 - 35ms/epoch - 6ms/step
Epoch 577/1000
6/6 - 0s - loss: -5.6485e+00 - 36ms/epoch - 6ms/step
Epoch 578/1000
6/6 - 0s - loss: -5.6391e+00 - 37ms/epoch - 6ms/step
Epoch 579/1000
6/6 - 0s - loss: -5.6450e+00 - 36ms/epoch - 6ms/step
Epoch 580/1000
6/6 - 0s - loss: -5.6538e+00 - 35ms/epoch - 6ms/step
Epoch 581/1000
6/6 - 0s - loss: -5.6729e+00 - 34ms/epoch - 6ms/step
Epoch 582/1000
6/6 - 0s - loss: -5.6626e+00 - 36ms/epoch - 6ms/step
Epoch 583/1000
6/6 - 0s - loss: -5.6998e+00 - 33ms/epoch - 5ms/step
Epoch 584/1000
6/6 - 0s - loss: -5.6563e+00 - 35ms/epoch - 6ms/step
Epoch 585/1000
6/6 - 0s - loss: -5.6706e+00 - 34ms/epoch - 6ms/step
Epoch 586/1000
6/6 - 0s - loss: -5.6860e+00 - 37ms/epoch - 6ms/step
Epoch 587/1000
6/6 - 0s - loss: -5.6886e+00 - 34ms/epoch - 6ms/step
Epoch 588/1000
6/6 - 0s - loss: -5.6860e+00 - 33ms/epoch - 5ms/step
Epoch 589/1000
6/6 - 0s - loss: -5.7145e+00 - 32ms/epoch - 5ms/step
Epoch 590/1000
6/6 - 0s - loss: -5.7129e+00 - 32ms/epoch - 5ms/step
Epoch 591/1000
6/6 - 0s - loss: -5.7250e+00 - 33ms/epoch - 6ms/step
Epoch 592/1000
6/6 - 0s - loss: -5.7615e+00 - 33ms/epoch - 5ms/step
Epoch 593/1000
6/6 - 0s - loss: -5.8295e+00 - 34ms/epoch - 6ms/step
Epoch 594/1000
6/6 - 0s - loss: -6.0374e+00 - 33ms/epoch - 6ms/step
Epoch 595/1000
6/6 - 0s - loss: -6.1696e+00 - 33ms/epoch - 6ms/step
Epoch 596/1000
6/6 - 0s - loss: -6.3609e+00 - 39ms/epoch - 7ms/step
Epoch 597/1000
6/6 - 0s - loss: -6.4335e+00 - 31ms/epoch - 5ms/step
Epoch 598/1000
6/6 - 0s - loss: -6.4799e+00 - 33ms/epoch - 5ms/step
Epoch 599/1000
6/6 - 0s - loss: -6.5675e+00 - 32ms/epoch - 5ms/step
Epoch 600/1000
6/6 - 0s - loss: -6.5720e+00 - 33ms/epoch - 5ms/step
Epoch 601/1000
6/6 - 0s - loss: -6.5626e+00 - 31ms/epoch - 5ms/step
Epoch 602/1000
6/6 - 0s - loss: -6.6018e+00 - 32ms/epoch - 5ms/step
Epoch 603/1000
6/6 - 0s - loss: -6.6361e+00 - 31ms/epoch - 5ms/step
Epoch 604/1000
6/6 - 0s - loss: -6.6078e+00 - 34ms/epoch - 6ms/step
Epoch 605/1000
6/6 - 0s - loss: -6.6385e+00 - 32ms/epoch - 5ms/step
Epoch 606/1000
6/6 - 0s - loss: -6.6431e+00 - 32ms/epoch - 5ms/step
Epoch 607/1000
6/6 - 0s - loss: -6.6504e+00 - 31ms/epoch - 5ms/step
Epoch 608/1000
6/6 - 0s - loss: -6.6492e+00 - 33ms/epoch - 5ms/step
Epoch 609/1000
6/6 - 0s - loss: -6.6556e+00 - 32ms/epoch - 5ms/step
Epoch 610/1000
6/6 - 0s - loss: -6.6592e+00 - 32ms/epoch - 5ms/step
Epoch 611/1000
6/6 - 0s - loss: -6.6623e+00 - 31ms/epoch - 5ms/step
Epoch 612/1000
6/6 - 0s - loss: -6.6551e+00 - 32ms/epoch - 5ms/step
Epoch 613/1000
6/6 - 0s - loss: -6.6499e+00 - 38ms/epoch - 6ms/step
Epoch 614/1000
6/6 - 0s - loss: -6.6547e+00 - 36ms/epoch - 6ms/step
Epoch 615/1000
6/6 - 0s - loss: -6.6567e+00 - 32ms/epoch - 5ms/step
Epoch 616/1000
6/6 - 0s - loss: -6.6590e+00 - 33ms/epoch - 6ms/step
Epoch 617/1000
6/6 - 0s - loss: -6.6613e+00 - 36ms/epoch - 6ms/step
Epoch 618/1000
6/6 - 0s - loss: -6.6603e+00 - 33ms/epoch - 6ms/step
Epoch 619/1000
6/6 - 0s - loss: -6.6731e+00 - 33ms/epoch - 5ms/step
Epoch 620/1000
6/6 - 0s - loss: -6.6632e+00 - 33ms/epoch - 6ms/step
Epoch 621/1000
6/6 - 0s - loss: -6.6744e+00 - 36ms/epoch - 6ms/step
Epoch 622/1000
6/6 - 0s - loss: -6.6909e+00 - 31ms/epoch - 5ms/step
Epoch 623/1000
6/6 - 0s - loss: -6.6706e+00 - 33ms/epoch - 5ms/step
Epoch 624/1000
6/6 - 0s - loss: -6.6760e+00 - 32ms/epoch - 5ms/step
Epoch 625/1000
6/6 - 0s - loss: -6.6747e+00 - 32ms/epoch - 5ms/step
Epoch 626/1000
6/6 - 0s - loss: -6.6692e+00 - 37ms/epoch - 6ms/step
Epoch 627/1000
6/6 - 0s - loss: -6.6707e+00 - 32ms/epoch - 5ms/step
Epoch 628/1000
6/6 - 0s - loss: -6.6694e+00 - 32ms/epoch - 5ms/step
Epoch 629/1000
6/6 - 0s - loss: -6.5164e+00 - 32ms/epoch - 5ms/step
Epoch 630/1000
6/6 - 0s - loss: -6.6066e+00 - 31ms/epoch - 5ms/step
Epoch 631/1000
6/6 - 0s - loss: -6.5983e+00 - 33ms/epoch - 6ms/step
Epoch 632/1000
6/6 - 0s - loss: -6.5868e+00 - 33ms/epoch - 5ms/step
Epoch 633/1000
6/6 - 0s - loss: -6.6035e+00 - 34ms/epoch - 6ms/step
Epoch 634/1000
6/6 - 0s - loss: -6.6215e+00 - 36ms/epoch - 6ms/step
Epoch 635/1000
6/6 - 0s - loss: -6.5731e+00 - 34ms/epoch - 6ms/step
Epoch 636/1000
6/6 - 0s - loss: -6.6425e+00 - 35ms/epoch - 6ms/step
Epoch 637/1000
6/6 - 0s - loss: -6.6514e+00 - 32ms/epoch - 5ms/step
Epoch 638/1000
6/6 - 0s - loss: -6.6635e+00 - 32ms/epoch - 5ms/step
Epoch 639/1000
6/6 - 0s - loss: -6.6323e+00 - 45ms/epoch - 7ms/step
Epoch 640/1000
6/6 - 0s - loss: -6.5236e+00 - 32ms/epoch - 5ms/step
Epoch 641/1000
6/6 - 0s - loss: -6.5432e+00 - 33ms/epoch - 5ms/step
Epoch 642/1000
6/6 - 0s - loss: -6.5741e+00 - 37ms/epoch - 6ms/step
Epoch 643/1000
6/6 - 0s - loss: -6.6233e+00 - 35ms/epoch - 6ms/step
Epoch 644/1000
6/6 - 0s - loss: -6.6223e+00 - 32ms/epoch - 5ms/step
Epoch 645/1000
6/6 - 0s - loss: -6.6281e+00 - 33ms/epoch - 5ms/step
Epoch 646/1000
6/6 - 0s - loss: -6.6344e+00 - 32ms/epoch - 5ms/step
Epoch 647/1000
6/6 - 0s - loss: -6.6383e+00 - 33ms/epoch - 6ms/step
Epoch 648/1000
6/6 - 0s - loss: -6.6421e+00 - 34ms/epoch - 6ms/step
Epoch 649/1000
6/6 - 0s - loss: -6.6432e+00 - 32ms/epoch - 5ms/step
Epoch 650/1000
6/6 - 0s - loss: -6.6491e+00 - 32ms/epoch - 5ms/step
Epoch 651/1000
6/6 - 0s - loss: -6.6424e+00 - 35ms/epoch - 6ms/step
Epoch 652/1000
6/6 - 0s - loss: -6.6584e+00 - 33ms/epoch - 6ms/step
Epoch 653/1000
6/6 - 0s - loss: -6.6582e+00 - 33ms/epoch - 6ms/step
Epoch 654/1000
6/6 - 0s - loss: -6.6674e+00 - 32ms/epoch - 5ms/step
Epoch 655/1000
6/6 - 0s - loss: -6.6601e+00 - 33ms/epoch - 5ms/step
Epoch 656/1000
6/6 - 0s - loss: -6.6731e+00 - 35ms/epoch - 6ms/step
Epoch 657/1000
6/6 - 0s - loss: -6.6743e+00 - 31ms/epoch - 5ms/step
Epoch 658/1000
6/6 - 0s - loss: -6.6692e+00 - 33ms/epoch - 5ms/step
Epoch 659/1000
6/6 - 0s - loss: -6.6660e+00 - 31ms/epoch - 5ms/step
Epoch 660/1000
6/6 - 0s - loss: -6.6722e+00 - 34ms/epoch - 6ms/step
Epoch 661/1000
6/6 - 0s - loss: -6.6718e+00 - 35ms/epoch - 6ms/step
Epoch 662/1000
6/6 - 0s - loss: -6.6688e+00 - 34ms/epoch - 6ms/step
Epoch 663/1000
6/6 - 0s - loss: -6.6415e+00 - 32ms/epoch - 5ms/step
Epoch 664/1000
6/6 - 0s - loss: -6.5977e+00 - 32ms/epoch - 5ms/step
Epoch 665/1000
6/6 - 0s - loss: -6.5313e+00 - 34ms/epoch - 6ms/step
Epoch 666/1000
6/6 - 0s - loss: -6.6232e+00 - 33ms/epoch - 6ms/step
Epoch 667/1000
6/6 - 0s - loss: -6.6584e+00 - 33ms/epoch - 5ms/step
Epoch 668/1000
6/6 - 0s - loss: -6.6328e+00 - 33ms/epoch - 6ms/step
Epoch 669/1000
6/6 - 0s - loss: -6.5440e+00 - 32ms/epoch - 5ms/step
Epoch 670/1000
6/6 - 0s - loss: -6.4814e+00 - 36ms/epoch - 6ms/step
Epoch 671/1000
6/6 - 0s - loss: -6.4643e+00 - 35ms/epoch - 6ms/step
Epoch 672/1000
6/6 - 0s - loss: -6.4713e+00 - 34ms/epoch - 6ms/step
Epoch 673/1000
6/6 - 0s - loss: -6.4795e+00 - 32ms/epoch - 5ms/step
Epoch 674/1000
6/6 - 0s - loss: -6.4857e+00 - 33ms/epoch - 6ms/step
Epoch 675/1000
6/6 - 0s - loss: -6.5077e+00 - 33ms/epoch - 5ms/step
Epoch 676/1000
6/6 - 0s - loss: -6.5296e+00 - 35ms/epoch - 6ms/step
Epoch 677/1000
6/6 - 0s - loss: -6.5932e+00 - 33ms/epoch - 5ms/step
Epoch 678/1000
6/6 - 0s - loss: -6.6305e+00 - 36ms/epoch - 6ms/step
Epoch 679/1000
6/6 - 0s - loss: -6.6442e+00 - 38ms/epoch - 6ms/step
Epoch 680/1000
6/6 - 0s - loss: -6.6566e+00 - 35ms/epoch - 6ms/step
Epoch 681/1000
6/6 - 0s - loss: -6.6492e+00 - 35ms/epoch - 6ms/step
Epoch 682/1000
6/6 - 0s - loss: -6.6594e+00 - 37ms/epoch - 6ms/step
Epoch 683/1000
6/6 - 0s - loss: -6.6608e+00 - 37ms/epoch - 6ms/step
Epoch 684/1000
6/6 - 0s - loss: -6.6403e+00 - 36ms/epoch - 6ms/step
Epoch 685/1000
6/6 - 0s - loss: -6.6709e+00 - 37ms/epoch - 6ms/step
Epoch 686/1000
6/6 - 0s - loss: -6.6607e+00 - 34ms/epoch - 6ms/step
Epoch 687/1000
6/6 - 0s - loss: -6.6572e+00 - 33ms/epoch - 6ms/step
Epoch 688/1000
6/6 - 0s - loss: -6.6492e+00 - 33ms/epoch - 6ms/step
Epoch 689/1000
6/6 - 0s - loss: -6.6527e+00 - 33ms/epoch - 6ms/step
Epoch 690/1000
6/6 - 0s - loss: -6.6603e+00 - 34ms/epoch - 6ms/step
Epoch 691/1000
6/6 - 0s - loss: -6.6601e+00 - 35ms/epoch - 6ms/step
Epoch 692/1000
6/6 - 0s - loss: -6.6594e+00 - 33ms/epoch - 6ms/step
Epoch 693/1000
6/6 - 0s - loss: -6.5939e+00 - 33ms/epoch - 5ms/step
Epoch 694/1000
6/6 - 0s - loss: -6.6641e+00 - 33ms/epoch - 6ms/step
Epoch 695/1000
6/6 - 0s - loss: -6.6705e+00 - 34ms/epoch - 6ms/step
Epoch 696/1000
6/6 - 0s - loss: -6.6673e+00 - 31ms/epoch - 5ms/step
Epoch 697/1000
6/6 - 0s - loss: -6.6759e+00 - 33ms/epoch - 6ms/step
Epoch 698/1000
6/6 - 0s - loss: -6.6761e+00 - 35ms/epoch - 6ms/step
Epoch 699/1000
6/6 - 0s - loss: -6.6624e+00 - 38ms/epoch - 6ms/step
Epoch 700/1000
6/6 - 0s - loss: -6.6779e+00 - 34ms/epoch - 6ms/step
Epoch 701/1000
6/6 - 0s - loss: -6.6784e+00 - 34ms/epoch - 6ms/step
Epoch 702/1000
6/6 - 0s - loss: -6.6919e+00 - 34ms/epoch - 6ms/step
Epoch 703/1000
6/6 - 0s - loss: -6.6881e+00 - 32ms/epoch - 5ms/step
Epoch 704/1000
6/6 - 0s - loss: -6.6766e+00 - 33ms/epoch - 5ms/step
Epoch 705/1000
6/6 - 0s - loss: -6.6867e+00 - 31ms/epoch - 5ms/step
Epoch 706/1000
6/6 - 0s - loss: -6.6915e+00 - 35ms/epoch - 6ms/step
Epoch 707/1000
6/6 - 0s - loss: -6.6791e+00 - 38ms/epoch - 6ms/step
Epoch 708/1000
6/6 - 0s - loss: -6.6755e+00 - 33ms/epoch - 5ms/step
Epoch 709/1000
6/6 - 0s - loss: -6.6804e+00 - 33ms/epoch - 5ms/step
Epoch 710/1000
6/6 - 0s - loss: -6.6853e+00 - 32ms/epoch - 5ms/step
Epoch 711/1000
6/6 - 0s - loss: -6.6753e+00 - 32ms/epoch - 5ms/step
Epoch 712/1000
6/6 - 0s - loss: -6.6750e+00 - 34ms/epoch - 6ms/step
Epoch 713/1000
6/6 - 0s - loss: -6.6752e+00 - 32ms/epoch - 5ms/step
Epoch 714/1000
6/6 - 0s - loss: -6.6958e+00 - 33ms/epoch - 6ms/step
Epoch 715/1000
6/6 - 0s - loss: -6.6921e+00 - 34ms/epoch - 6ms/step
Epoch 716/1000
6/6 - 0s - loss: -6.6835e+00 - 33ms/epoch - 6ms/step
Epoch 717/1000
6/6 - 0s - loss: -6.6959e+00 - 35ms/epoch - 6ms/step
Epoch 718/1000
6/6 - 0s - loss: -6.6904e+00 - 33ms/epoch - 6ms/step
Epoch 719/1000
6/6 - 0s - loss: -6.6877e+00 - 35ms/epoch - 6ms/step
Epoch 720/1000
6/6 - 0s - loss: -6.6893e+00 - 32ms/epoch - 5ms/step
Epoch 721/1000
6/6 - 0s - loss: -6.6932e+00 - 34ms/epoch - 6ms/step
Epoch 722/1000
6/6 - 0s - loss: -6.6842e+00 - 36ms/epoch - 6ms/step
Epoch 723/1000
6/6 - 0s - loss: -6.6924e+00 - 33ms/epoch - 5ms/step
Epoch 724/1000
6/6 - 0s - loss: -6.6915e+00 - 35ms/epoch - 6ms/step
Epoch 725/1000
6/6 - 0s - loss: -6.6881e+00 - 36ms/epoch - 6ms/step
Epoch 726/1000
6/6 - 0s - loss: -6.6853e+00 - 32ms/epoch - 5ms/step
Epoch 727/1000
6/6 - 0s - loss: -6.6690e+00 - 34ms/epoch - 6ms/step
Epoch 728/1000
6/6 - 0s - loss: -6.6560e+00 - 32ms/epoch - 5ms/step
Epoch 729/1000
6/6 - 0s - loss: -6.6684e+00 - 34ms/epoch - 6ms/step
Epoch 730/1000
6/6 - 0s - loss: -6.6939e+00 - 34ms/epoch - 6ms/step
Epoch 731/1000
6/6 - 0s - loss: -6.6981e+00 - 32ms/epoch - 5ms/step
Epoch 732/1000
6/6 - 0s - loss: -6.7004e+00 - 34ms/epoch - 6ms/step
Epoch 733/1000
6/6 - 0s - loss: -6.6983e+00 - 32ms/epoch - 5ms/step
Epoch 734/1000
6/6 - 0s - loss: -6.6980e+00 - 37ms/epoch - 6ms/step
Epoch 735/1000
6/6 - 0s - loss: -6.6892e+00 - 35ms/epoch - 6ms/step
Epoch 736/1000
6/6 - 0s - loss: -6.7066e+00 - 34ms/epoch - 6ms/step
Epoch 737/1000
6/6 - 0s - loss: -6.7011e+00 - 36ms/epoch - 6ms/step
Epoch 738/1000
6/6 - 0s - loss: -6.6879e+00 - 33ms/epoch - 6ms/step
Epoch 739/1000
6/6 - 0s - loss: -6.7047e+00 - 35ms/epoch - 6ms/step
Epoch 740/1000
6/6 - 0s - loss: -6.6782e+00 - 35ms/epoch - 6ms/step
Epoch 741/1000
6/6 - 0s - loss: -6.6699e+00 - 34ms/epoch - 6ms/step
Epoch 742/1000
6/6 - 0s - loss: -6.6637e+00 - 37ms/epoch - 6ms/step
Epoch 743/1000
6/6 - 0s - loss: -6.6677e+00 - 35ms/epoch - 6ms/step
Epoch 744/1000
6/6 - 0s - loss: -6.6831e+00 - 34ms/epoch - 6ms/step
Epoch 745/1000
6/6 - 0s - loss: -6.6796e+00 - 34ms/epoch - 6ms/step
Epoch 746/1000
6/6 - 0s - loss: -6.6949e+00 - 35ms/epoch - 6ms/step
Epoch 747/1000
6/6 - 0s - loss: -6.6948e+00 - 34ms/epoch - 6ms/step
Epoch 748/1000
6/6 - 0s - loss: -6.6799e+00 - 33ms/epoch - 6ms/step
Epoch 749/1000
6/6 - 0s - loss: -6.6955e+00 - 35ms/epoch - 6ms/step
Epoch 750/1000
6/6 - 0s - loss: -6.6969e+00 - 37ms/epoch - 6ms/step
Epoch 751/1000
6/6 - 0s - loss: -6.6950e+00 - 32ms/epoch - 5ms/step
Epoch 752/1000
6/6 - 0s - loss: -6.7069e+00 - 33ms/epoch - 6ms/step
Epoch 753/1000
6/6 - 0s - loss: -6.6749e+00 - 31ms/epoch - 5ms/step
Epoch 754/1000
6/6 - 0s - loss: -6.6794e+00 - 33ms/epoch - 6ms/step
Epoch 755/1000
6/6 - 0s - loss: -6.6754e+00 - 36ms/epoch - 6ms/step
Epoch 756/1000
6/6 - 0s - loss: -6.6788e+00 - 32ms/epoch - 5ms/step
Epoch 757/1000
6/6 - 0s - loss: -6.6814e+00 - 34ms/epoch - 6ms/step
Epoch 758/1000
6/6 - 0s - loss: -6.6816e+00 - 34ms/epoch - 6ms/step
Epoch 759/1000
6/6 - 0s - loss: -6.6851e+00 - 33ms/epoch - 5ms/step
Epoch 760/1000
6/6 - 0s - loss: -6.6847e+00 - 32ms/epoch - 5ms/step
Epoch 761/1000
6/6 - 0s - loss: -6.6932e+00 - 32ms/epoch - 5ms/step
Epoch 762/1000
6/6 - 0s - loss: -6.7007e+00 - 37ms/epoch - 6ms/step
Epoch 763/1000
6/6 - 0s - loss: -6.6941e+00 - 32ms/epoch - 5ms/step
Epoch 764/1000
6/6 - 0s - loss: -6.7099e+00 - 32ms/epoch - 5ms/step
Epoch 765/1000
6/6 - 0s - loss: -6.7101e+00 - 32ms/epoch - 5ms/step
Epoch 766/1000
6/6 - 0s - loss: -6.7051e+00 - 33ms/epoch - 6ms/step
Epoch 767/1000
6/6 - 0s - loss: -6.7156e+00 - 35ms/epoch - 6ms/step
Epoch 768/1000
6/6 - 0s - loss: -6.7046e+00 - 33ms/epoch - 6ms/step
Epoch 769/1000
6/6 - 0s - loss: -6.7048e+00 - 34ms/epoch - 6ms/step
Epoch 770/1000
6/6 - 0s - loss: -6.7025e+00 - 32ms/epoch - 5ms/step
Epoch 771/1000
6/6 - 0s - loss: -6.6922e+00 - 31ms/epoch - 5ms/step
Epoch 772/1000
6/6 - 0s - loss: -6.6984e+00 - 33ms/epoch - 6ms/step
Epoch 773/1000
6/6 - 0s - loss: -6.7073e+00 - 33ms/epoch - 6ms/step
Epoch 774/1000
6/6 - 0s - loss: -6.7050e+00 - 34ms/epoch - 6ms/step
Epoch 775/1000
6/6 - 0s - loss: -6.6995e+00 - 34ms/epoch - 6ms/step
Epoch 776/1000
6/6 - 0s - loss: -6.6978e+00 - 35ms/epoch - 6ms/step
Epoch 777/1000
6/6 - 0s - loss: -6.7031e+00 - 32ms/epoch - 5ms/step
Epoch 778/1000
6/6 - 0s - loss: -6.7149e+00 - 33ms/epoch - 5ms/step
Epoch 779/1000
6/6 - 0s - loss: -6.7045e+00 - 32ms/epoch - 5ms/step
Epoch 780/1000
6/6 - 0s - loss: -6.7065e+00 - 32ms/epoch - 5ms/step
Epoch 781/1000
6/6 - 0s - loss: -6.7101e+00 - 34ms/epoch - 6ms/step
Epoch 782/1000
6/6 - 0s - loss: -6.7057e+00 - 32ms/epoch - 5ms/step
Epoch 783/1000
6/6 - 0s - loss: -6.6875e+00 - 35ms/epoch - 6ms/step
Epoch 784/1000
6/6 - 0s - loss: -6.6666e+00 - 34ms/epoch - 6ms/step
Epoch 785/1000
6/6 - 0s - loss: -6.7064e+00 - 31ms/epoch - 5ms/step
Epoch 786/1000
6/6 - 0s - loss: -6.7079e+00 - 34ms/epoch - 6ms/step
Epoch 787/1000
6/6 - 0s - loss: -6.7053e+00 - 36ms/epoch - 6ms/step
Epoch 788/1000
6/6 - 0s - loss: -6.7066e+00 - 35ms/epoch - 6ms/step
Epoch 789/1000
6/6 - 0s - loss: -6.7023e+00 - 35ms/epoch - 6ms/step
Epoch 790/1000
6/6 - 0s - loss: -6.6877e+00 - 34ms/epoch - 6ms/step
Epoch 791/1000
6/6 - 0s - loss: -6.6854e+00 - 32ms/epoch - 5ms/step
Epoch 792/1000
6/6 - 0s - loss: -6.6822e+00 - 34ms/epoch - 6ms/step
Epoch 793/1000
6/6 - 0s - loss: -6.6862e+00 - 34ms/epoch - 6ms/step
Epoch 794/1000
6/6 - 0s - loss: -6.6879e+00 - 31ms/epoch - 5ms/step
Epoch 795/1000
6/6 - 0s - loss: -6.6974e+00 - 32ms/epoch - 5ms/step
Epoch 796/1000
6/6 - 0s - loss: -6.6931e+00 - 33ms/epoch - 5ms/step
Epoch 797/1000
6/6 - 0s - loss: -6.7044e+00 - 32ms/epoch - 5ms/step
Epoch 798/1000
6/6 - 0s - loss: -6.7086e+00 - 34ms/epoch - 6ms/step
Epoch 799/1000
6/6 - 0s - loss: -6.6994e+00 - 33ms/epoch - 5ms/step
Epoch 800/1000
6/6 - 0s - loss: -6.6951e+00 - 35ms/epoch - 6ms/step
Epoch 801/1000
6/6 - 0s - loss: -6.7040e+00 - 32ms/epoch - 5ms/step
Epoch 802/1000
6/6 - 0s - loss: -6.7113e+00 - 34ms/epoch - 6ms/step
Epoch 803/1000
6/6 - 0s - loss: -6.7165e+00 - 31ms/epoch - 5ms/step
Epoch 804/1000
6/6 - 0s - loss: -6.7128e+00 - 36ms/epoch - 6ms/step
Epoch 805/1000
6/6 - 0s - loss: -6.7163e+00 - 36ms/epoch - 6ms/step
Epoch 806/1000
6/6 - 0s - loss: -6.6796e+00 - 34ms/epoch - 6ms/step
Epoch 807/1000
6/6 - 0s - loss: -5.2046e+00 - 32ms/epoch - 5ms/step
Epoch 808/1000
6/6 - 0s - loss: -4.5717e+00 - 34ms/epoch - 6ms/step
Epoch 809/1000
6/6 - 0s - loss: -5.8540e+00 - 33ms/epoch - 5ms/step
Epoch 810/1000
6/6 - 0s - loss: -6.4725e+00 - 34ms/epoch - 6ms/step
Epoch 811/1000
6/6 - 0s - loss: -6.5835e+00 - 34ms/epoch - 6ms/step
Epoch 812/1000
6/6 - 0s - loss: -6.5959e+00 - 36ms/epoch - 6ms/step
Epoch 813/1000
6/6 - 0s - loss: -6.5964e+00 - 34ms/epoch - 6ms/step
Epoch 814/1000
6/6 - 0s - loss: -6.5955e+00 - 34ms/epoch - 6ms/step
Epoch 815/1000
6/6 - 0s - loss: -6.5930e+00 - 36ms/epoch - 6ms/step
Epoch 816/1000
6/6 - 0s - loss: -6.5701e+00 - 37ms/epoch - 6ms/step
Epoch 817/1000
6/6 - 0s - loss: -6.5981e+00 - 35ms/epoch - 6ms/step
Epoch 818/1000
6/6 - 0s - loss: -6.6231e+00 - 33ms/epoch - 5ms/step
Epoch 819/1000
6/6 - 0s - loss: -6.6351e+00 - 33ms/epoch - 6ms/step
Epoch 820/1000
6/6 - 0s - loss: -6.6340e+00 - 35ms/epoch - 6ms/step
Epoch 821/1000
6/6 - 0s - loss: -6.6430e+00 - 33ms/epoch - 5ms/step
Epoch 822/1000
6/6 - 0s - loss: -6.6605e+00 - 32ms/epoch - 5ms/step
Epoch 823/1000
6/6 - 0s - loss: -6.6453e+00 - 31ms/epoch - 5ms/step
Epoch 824/1000
6/6 - 0s - loss: -6.6309e+00 - 32ms/epoch - 5ms/step
Epoch 825/1000
6/6 - 0s - loss: -6.6123e+00 - 31ms/epoch - 5ms/step
Epoch 826/1000
6/6 - 0s - loss: -6.6002e+00 - 32ms/epoch - 5ms/step
Epoch 827/1000
6/6 - 0s - loss: -6.5981e+00 - 33ms/epoch - 5ms/step
Epoch 828/1000
6/6 - 0s - loss: -6.5984e+00 - 38ms/epoch - 6ms/step
Epoch 829/1000
6/6 - 0s - loss: -6.6152e+00 - 38ms/epoch - 6ms/step
Epoch 830/1000
6/6 - 0s - loss: -6.6319e+00 - 39ms/epoch - 7ms/step
Epoch 831/1000
6/6 - 0s - loss: -6.6292e+00 - 40ms/epoch - 7ms/step
Epoch 832/1000
6/6 - 0s - loss: -6.6411e+00 - 34ms/epoch - 6ms/step
Epoch 833/1000
6/6 - 0s - loss: -6.6432e+00 - 34ms/epoch - 6ms/step
Epoch 834/1000
6/6 - 0s - loss: -6.6553e+00 - 34ms/epoch - 6ms/step
Epoch 835/1000
6/6 - 0s - loss: -6.6580e+00 - 34ms/epoch - 6ms/step
Epoch 836/1000
6/6 - 0s - loss: -6.6454e+00 - 34ms/epoch - 6ms/step
Epoch 837/1000
6/6 - 0s - loss: -6.6532e+00 - 33ms/epoch - 5ms/step
Epoch 838/1000
6/6 - 0s - loss: -6.6592e+00 - 32ms/epoch - 5ms/step
Epoch 839/1000
6/6 - 0s - loss: -6.6626e+00 - 34ms/epoch - 6ms/step
Epoch 840/1000
6/6 - 0s - loss: -6.6634e+00 - 33ms/epoch - 6ms/step
Epoch 841/1000
6/6 - 0s - loss: -6.6638e+00 - 34ms/epoch - 6ms/step
Epoch 842/1000
6/6 - 0s - loss: -6.6548e+00 - 32ms/epoch - 5ms/step
Epoch 843/1000
6/6 - 0s - loss: -6.6720e+00 - 35ms/epoch - 6ms/step
Epoch 844/1000
6/6 - 0s - loss: -6.6663e+00 - 33ms/epoch - 6ms/step
Epoch 845/1000
6/6 - 0s - loss: -6.6629e+00 - 35ms/epoch - 6ms/step
Epoch 846/1000
6/6 - 0s - loss: -6.6646e+00 - 32ms/epoch - 5ms/step
Epoch 847/1000
6/6 - 0s - loss: -6.6724e+00 - 32ms/epoch - 5ms/step
Epoch 848/1000
6/6 - 0s - loss: -6.6728e+00 - 31ms/epoch - 5ms/step
Epoch 849/1000
6/6 - 0s - loss: -6.6827e+00 - 35ms/epoch - 6ms/step
Epoch 850/1000
6/6 - 0s - loss: -6.6904e+00 - 35ms/epoch - 6ms/step
Epoch 851/1000
6/6 - 0s - loss: -6.6707e+00 - 34ms/epoch - 6ms/step
Epoch 852/1000
6/6 - 0s - loss: -6.6839e+00 - 32ms/epoch - 5ms/step
Epoch 853/1000
6/6 - 0s - loss: -6.6802e+00 - 34ms/epoch - 6ms/step
Epoch 854/1000
6/6 - 0s - loss: -6.6838e+00 - 34ms/epoch - 6ms/step
Epoch 855/1000
6/6 - 0s - loss: -6.6884e+00 - 34ms/epoch - 6ms/step
Epoch 856/1000
6/6 - 0s - loss: -6.6872e+00 - 34ms/epoch - 6ms/step
Epoch 857/1000
6/6 - 0s - loss: -6.6644e+00 - 43ms/epoch - 7ms/step
Epoch 858/1000
6/6 - 0s - loss: -6.6620e+00 - 37ms/epoch - 6ms/step
Epoch 859/1000
6/6 - 0s - loss: -6.6657e+00 - 34ms/epoch - 6ms/step
Epoch 860/1000
6/6 - 0s - loss: -6.6601e+00 - 33ms/epoch - 6ms/step
Epoch 861/1000
6/6 - 0s - loss: -6.6760e+00 - 32ms/epoch - 5ms/step
Epoch 862/1000
6/6 - 0s - loss: -6.6660e+00 - 35ms/epoch - 6ms/step
Epoch 863/1000
6/6 - 0s - loss: -6.6790e+00 - 32ms/epoch - 5ms/step
Epoch 864/1000
6/6 - 0s - loss: -6.6835e+00 - 33ms/epoch - 6ms/step
Epoch 865/1000
6/6 - 0s - loss: -6.6235e+00 - 33ms/epoch - 5ms/step
Epoch 866/1000
6/6 - 0s - loss: -6.5263e+00 - 33ms/epoch - 6ms/step
Epoch 867/1000
6/6 - 0s - loss: -6.4710e+00 - 32ms/epoch - 5ms/step
Epoch 868/1000
6/6 - 0s - loss: -6.4794e+00 - 34ms/epoch - 6ms/step
Epoch 869/1000
6/6 - 0s - loss: -6.5232e+00 - 32ms/epoch - 5ms/step
Epoch 870/1000
6/6 - 0s - loss: -6.5484e+00 - 33ms/epoch - 5ms/step
Epoch 871/1000
6/6 - 0s - loss: -6.5918e+00 - 34ms/epoch - 6ms/step
Epoch 872/1000
6/6 - 0s - loss: -6.6030e+00 - 32ms/epoch - 5ms/step
Epoch 873/1000
6/6 - 0s - loss: -6.6408e+00 - 36ms/epoch - 6ms/step
Epoch 874/1000
6/6 - 0s - loss: -6.6690e+00 - 31ms/epoch - 5ms/step
Epoch 875/1000
6/6 - 0s - loss: -6.6530e+00 - 36ms/epoch - 6ms/step
Epoch 876/1000
6/6 - 0s - loss: -6.6743e+00 - 34ms/epoch - 6ms/step
Epoch 877/1000
6/6 - 0s - loss: -6.6826e+00 - 32ms/epoch - 5ms/step
Epoch 878/1000
6/6 - 0s - loss: -6.6787e+00 - 32ms/epoch - 5ms/step
Epoch 879/1000
6/6 - 0s - loss: -6.6831e+00 - 34ms/epoch - 6ms/step
Epoch 880/1000
6/6 - 0s - loss: -6.6951e+00 - 33ms/epoch - 5ms/step
Epoch 881/1000
6/6 - 0s - loss: -6.6863e+00 - 32ms/epoch - 5ms/step
Epoch 882/1000
6/6 - 0s - loss: -6.6929e+00 - 32ms/epoch - 5ms/step
Epoch 883/1000
6/6 - 0s - loss: -6.6903e+00 - 33ms/epoch - 5ms/step
Epoch 884/1000
6/6 - 0s - loss: -6.6844e+00 - 34ms/epoch - 6ms/step
Epoch 885/1000
6/6 - 0s - loss: -6.7028e+00 - 33ms/epoch - 6ms/step
Epoch 886/1000
6/6 - 0s - loss: -6.6916e+00 - 36ms/epoch - 6ms/step
Epoch 887/1000
6/6 - 0s - loss: -6.6928e+00 - 35ms/epoch - 6ms/step
Epoch 888/1000
6/6 - 0s - loss: -6.6954e+00 - 32ms/epoch - 5ms/step
Epoch 889/1000
6/6 - 0s - loss: -6.6894e+00 - 33ms/epoch - 6ms/step
Epoch 890/1000
6/6 - 0s - loss: -6.6894e+00 - 36ms/epoch - 6ms/step
Epoch 891/1000
6/6 - 0s - loss: -6.6815e+00 - 33ms/epoch - 5ms/step
Epoch 892/1000
6/6 - 0s - loss: -6.6902e+00 - 33ms/epoch - 6ms/step
Epoch 893/1000
6/6 - 0s - loss: -6.6835e+00 - 32ms/epoch - 5ms/step
Epoch 894/1000
6/6 - 0s - loss: -6.6957e+00 - 33ms/epoch - 6ms/step
Epoch 895/1000
6/6 - 0s - loss: -6.6986e+00 - 35ms/epoch - 6ms/step
Epoch 896/1000
6/6 - 0s - loss: -6.6963e+00 - 37ms/epoch - 6ms/step
Epoch 897/1000
6/6 - 0s - loss: -6.6986e+00 - 34ms/epoch - 6ms/step
Epoch 898/1000
6/6 - 0s - loss: -6.6923e+00 - 37ms/epoch - 6ms/step
Epoch 899/1000
6/6 - 0s - loss: -6.6991e+00 - 34ms/epoch - 6ms/step
Epoch 900/1000
6/6 - 0s - loss: -6.7018e+00 - 34ms/epoch - 6ms/step
Epoch 901/1000
6/6 - 0s - loss: -6.6981e+00 - 34ms/epoch - 6ms/step
Epoch 902/1000
6/6 - 0s - loss: -6.7061e+00 - 33ms/epoch - 5ms/step
Epoch 903/1000
6/6 - 0s - loss: -6.7000e+00 - 32ms/epoch - 5ms/step
Epoch 904/1000
6/6 - 0s - loss: -6.7025e+00 - 35ms/epoch - 6ms/step
Epoch 905/1000
6/6 - 0s - loss: -6.6919e+00 - 31ms/epoch - 5ms/step
Epoch 906/1000
6/6 - 0s - loss: -6.7016e+00 - 33ms/epoch - 5ms/step
Epoch 907/1000
6/6 - 0s - loss: -6.7052e+00 - 31ms/epoch - 5ms/step
Epoch 908/1000
6/6 - 0s - loss: -6.7030e+00 - 32ms/epoch - 5ms/step
Epoch 909/1000
6/6 - 0s - loss: -6.7055e+00 - 33ms/epoch - 5ms/step
Epoch 910/1000
6/6 - 0s - loss: -6.6967e+00 - 29ms/epoch - 5ms/step
Epoch 911/1000
6/6 - 0s - loss: -6.6887e+00 - 30ms/epoch - 5ms/step
Epoch 912/1000
6/6 - 0s - loss: -6.6945e+00 - 35ms/epoch - 6ms/step
Epoch 913/1000
6/6 - 0s - loss: -6.6524e+00 - 34ms/epoch - 6ms/step
Epoch 914/1000
6/6 - 0s - loss: -6.6521e+00 - 34ms/epoch - 6ms/step
Epoch 915/1000
6/6 - 0s - loss: -6.6423e+00 - 32ms/epoch - 5ms/step
Epoch 916/1000
6/6 - 0s - loss: -6.6286e+00 - 33ms/epoch - 5ms/step
Epoch 917/1000
6/6 - 0s - loss: -6.6384e+00 - 35ms/epoch - 6ms/step
Epoch 918/1000
6/6 - 0s - loss: -6.6424e+00 - 34ms/epoch - 6ms/step
Epoch 919/1000
6/6 - 0s - loss: -6.6553e+00 - 32ms/epoch - 5ms/step
Epoch 920/1000
6/6 - 0s - loss: -6.6634e+00 - 32ms/epoch - 5ms/step
Epoch 921/1000
6/6 - 0s - loss: -6.6609e+00 - 33ms/epoch - 5ms/step
Epoch 922/1000
6/6 - 0s - loss: -6.6739e+00 - 31ms/epoch - 5ms/step
Epoch 923/1000
6/6 - 0s - loss: -6.6849e+00 - 37ms/epoch - 6ms/step
Epoch 924/1000
6/6 - 0s - loss: -6.6989e+00 - 36ms/epoch - 6ms/step
Epoch 925/1000
6/6 - 0s - loss: -6.6841e+00 - 34ms/epoch - 6ms/step
Epoch 926/1000
6/6 - 0s - loss: -6.6887e+00 - 33ms/epoch - 6ms/step
Epoch 927/1000
6/6 - 0s - loss: -6.6878e+00 - 33ms/epoch - 6ms/step
Epoch 928/1000
6/6 - 0s - loss: -6.6997e+00 - 34ms/epoch - 6ms/step
Epoch 929/1000
6/6 - 0s - loss: -6.7005e+00 - 33ms/epoch - 6ms/step
Epoch 930/1000
6/6 - 0s - loss: -6.7077e+00 - 34ms/epoch - 6ms/step
Epoch 931/1000
6/6 - 0s - loss: -6.6896e+00 - 32ms/epoch - 5ms/step
Epoch 932/1000
6/6 - 0s - loss: -6.6995e+00 - 35ms/epoch - 6ms/step
Epoch 933/1000
6/6 - 0s - loss: -6.7049e+00 - 34ms/epoch - 6ms/step
Epoch 934/1000
6/6 - 0s - loss: -6.7012e+00 - 34ms/epoch - 6ms/step
Epoch 935/1000
6/6 - 0s - loss: -6.7062e+00 - 33ms/epoch - 6ms/step
Epoch 936/1000
6/6 - 0s - loss: -6.7029e+00 - 31ms/epoch - 5ms/step
Epoch 937/1000
6/6 - 0s - loss: -6.7064e+00 - 32ms/epoch - 5ms/step
Epoch 938/1000
6/6 - 0s - loss: -6.7032e+00 - 33ms/epoch - 6ms/step
Epoch 939/1000
6/6 - 0s - loss: -6.7016e+00 - 34ms/epoch - 6ms/step
Epoch 940/1000
6/6 - 0s - loss: -6.6971e+00 - 33ms/epoch - 6ms/step
Epoch 941/1000
6/6 - 0s - loss: -6.7076e+00 - 32ms/epoch - 5ms/step
Epoch 942/1000
6/6 - 0s - loss: -6.7038e+00 - 34ms/epoch - 6ms/step
Epoch 943/1000
6/6 - 0s - loss: -6.7034e+00 - 33ms/epoch - 6ms/step
Epoch 944/1000
6/6 - 0s - loss: -6.6906e+00 - 37ms/epoch - 6ms/step
Epoch 945/1000
6/6 - 0s - loss: -6.7013e+00 - 33ms/epoch - 5ms/step
Epoch 946/1000
6/6 - 0s - loss: -6.7028e+00 - 34ms/epoch - 6ms/step
Epoch 947/1000
6/6 - 0s - loss: -6.7038e+00 - 33ms/epoch - 5ms/step
Epoch 948/1000
6/6 - 0s - loss: -6.7086e+00 - 32ms/epoch - 5ms/step
Epoch 949/1000
6/6 - 0s - loss: -6.7016e+00 - 33ms/epoch - 5ms/step
Epoch 950/1000
6/6 - 0s - loss: -6.6944e+00 - 36ms/epoch - 6ms/step
Epoch 951/1000
6/6 - 0s - loss: -6.7104e+00 - 35ms/epoch - 6ms/step
Epoch 952/1000
6/6 - 0s - loss: -6.7078e+00 - 31ms/epoch - 5ms/step
Epoch 953/1000
6/6 - 0s - loss: -6.7046e+00 - 36ms/epoch - 6ms/step
Epoch 954/1000
6/6 - 0s - loss: -6.7058e+00 - 32ms/epoch - 5ms/step
Epoch 955/1000
6/6 - 0s - loss: -6.7139e+00 - 36ms/epoch - 6ms/step
Epoch 956/1000
6/6 - 0s - loss: -6.7007e+00 - 33ms/epoch - 5ms/step
Epoch 957/1000
6/6 - 0s - loss: -6.7238e+00 - 34ms/epoch - 6ms/step
Epoch 958/1000
6/6 - 0s - loss: -6.7127e+00 - 34ms/epoch - 6ms/step
Epoch 959/1000
6/6 - 0s - loss: -6.7180e+00 - 34ms/epoch - 6ms/step
Epoch 960/1000
6/6 - 0s - loss: -6.7186e+00 - 33ms/epoch - 5ms/step
Epoch 961/1000
6/6 - 0s - loss: -6.7159e+00 - 34ms/epoch - 6ms/step
Epoch 962/1000
6/6 - 0s - loss: -6.7161e+00 - 34ms/epoch - 6ms/step
Epoch 963/1000
6/6 - 0s - loss: -6.7090e+00 - 35ms/epoch - 6ms/step
Epoch 964/1000
6/6 - 0s - loss: -6.7088e+00 - 33ms/epoch - 5ms/step
Epoch 965/1000
6/6 - 0s - loss: -6.7129e+00 - 34ms/epoch - 6ms/step
Epoch 966/1000
6/6 - 0s - loss: -6.6981e+00 - 33ms/epoch - 5ms/step
Epoch 967/1000
6/6 - 0s - loss: -6.7031e+00 - 36ms/epoch - 6ms/step
Epoch 968/1000
6/6 - 0s - loss: -6.7090e+00 - 33ms/epoch - 5ms/step
Epoch 969/1000
6/6 - 0s - loss: -6.7163e+00 - 32ms/epoch - 5ms/step
Epoch 970/1000
6/6 - 0s - loss: -6.7015e+00 - 33ms/epoch - 5ms/step
Epoch 971/1000
6/6 - 0s - loss: -6.7092e+00 - 33ms/epoch - 6ms/step
Epoch 972/1000
6/6 - 0s - loss: -6.7154e+00 - 33ms/epoch - 6ms/step
Epoch 973/1000
6/6 - 0s - loss: -6.7090e+00 - 34ms/epoch - 6ms/step
Epoch 974/1000
6/6 - 0s - loss: -6.7063e+00 - 33ms/epoch - 5ms/step
Epoch 975/1000
6/6 - 0s - loss: -6.7060e+00 - 33ms/epoch - 6ms/step
Epoch 976/1000
6/6 - 0s - loss: -6.7125e+00 - 35ms/epoch - 6ms/step
Epoch 977/1000
6/6 - 0s - loss: -6.7139e+00 - 33ms/epoch - 5ms/step
Epoch 978/1000
6/6 - 0s - loss: -6.7178e+00 - 33ms/epoch - 5ms/step
Epoch 979/1000
6/6 - 0s - loss: -6.7121e+00 - 34ms/epoch - 6ms/step
Epoch 980/1000
6/6 - 0s - loss: -6.7121e+00 - 33ms/epoch - 6ms/step
Epoch 981/1000
6/6 - 0s - loss: -6.7167e+00 - 34ms/epoch - 6ms/step
Epoch 982/1000
6/6 - 0s - loss: -6.7150e+00 - 32ms/epoch - 5ms/step
Epoch 983/1000
6/6 - 0s - loss: -6.7207e+00 - 32ms/epoch - 5ms/step
Epoch 984/1000
6/6 - 0s - loss: -6.7173e+00 - 35ms/epoch - 6ms/step
Epoch 985/1000
6/6 - 0s - loss: -6.7144e+00 - 33ms/epoch - 5ms/step
Epoch 986/1000
6/6 - 0s - loss: -6.7171e+00 - 31ms/epoch - 5ms/step
Epoch 987/1000
6/6 - 0s - loss: -6.7124e+00 - 33ms/epoch - 5ms/step
Epoch 988/1000
6/6 - 0s - loss: -6.7133e+00 - 33ms/epoch - 5ms/step
Epoch 989/1000
6/6 - 0s - loss: -6.7199e+00 - 34ms/epoch - 6ms/step
Epoch 990/1000
6/6 - 0s - loss: -6.7088e+00 - 34ms/epoch - 6ms/step
Epoch 991/1000
6/6 - 0s - loss: -6.7072e+00 - 32ms/epoch - 5ms/step
Epoch 992/1000
6/6 - 0s - loss: -6.7170e+00 - 32ms/epoch - 5ms/step
Epoch 993/1000
6/6 - 0s - loss: -6.7085e+00 - 32ms/epoch - 5ms/step
Epoch 994/1000
6/6 - 0s - loss: -6.7167e+00 - 31ms/epoch - 5ms/step
Epoch 995/1000
6/6 - 0s - loss: -6.7217e+00 - 33ms/epoch - 5ms/step
Epoch 996/1000
6/6 - 0s - loss: -6.7212e+00 - 33ms/epoch - 5ms/step
Epoch 997/1000
6/6 - 0s - loss: -6.7326e+00 - 34ms/epoch - 6ms/step
Epoch 998/1000
6/6 - 0s - loss: -6.7103e+00 - 32ms/epoch - 5ms/step
Epoch 999/1000
6/6 - 0s - loss: -6.7261e+00 - 33ms/epoch - 6ms/step
Epoch 1000/1000
6/6 - 0s - loss: -6.7229e+00 - 34ms/epoch - 6ms/step
Epoch 1/1000
6/6 - 1s - loss: -5.8542e-01 - 1s/epoch - 194ms/step
Epoch 2/1000
6/6 - 0s - loss: -1.8692e+00 - 31ms/epoch - 5ms/step
Epoch 3/1000
6/6 - 0s - loss: -2.5415e+00 - 30ms/epoch - 5ms/step
Epoch 4/1000
6/6 - 0s - loss: -2.9948e+00 - 31ms/epoch - 5ms/step
Epoch 5/1000
6/6 - 0s - loss: -3.3743e+00 - 34ms/epoch - 6ms/step
Epoch 6/1000
6/6 - 0s - loss: -3.6377e+00 - 33ms/epoch - 5ms/step
Epoch 7/1000
6/6 - 0s - loss: -3.9547e+00 - 37ms/epoch - 6ms/step
Epoch 8/1000
6/6 - 0s - loss: -4.2704e+00 - 32ms/epoch - 5ms/step
Epoch 9/1000
6/6 - 0s - loss: -4.5868e+00 - 37ms/epoch - 6ms/step
Epoch 10/1000
6/6 - 0s - loss: -4.9037e+00 - 34ms/epoch - 6ms/step
Epoch 11/1000
6/6 - 0s - loss: -5.0819e+00 - 33ms/epoch - 6ms/step
Epoch 12/1000
6/6 - 0s - loss: -5.1652e+00 - 32ms/epoch - 5ms/step
Epoch 13/1000
6/6 - 0s - loss: -5.3087e+00 - 33ms/epoch - 6ms/step
Epoch 14/1000
6/6 - 0s - loss: -5.4453e+00 - 33ms/epoch - 5ms/step
Epoch 15/1000
6/6 - 0s - loss: -5.5688e+00 - 33ms/epoch - 6ms/step
Epoch 16/1000
6/6 - 0s - loss: -5.6388e+00 - 34ms/epoch - 6ms/step
Epoch 17/1000
6/6 - 0s - loss: -5.6364e+00 - 35ms/epoch - 6ms/step
Epoch 18/1000
6/6 - 0s - loss: -5.7473e+00 - 32ms/epoch - 5ms/step
Epoch 19/1000
6/6 - 0s - loss: -5.7378e+00 - 33ms/epoch - 5ms/step
Epoch 20/1000
6/6 - 0s - loss: -5.7662e+00 - 33ms/epoch - 6ms/step
Epoch 21/1000
6/6 - 0s - loss: -5.8547e+00 - 33ms/epoch - 6ms/step
Epoch 22/1000
6/6 - 0s - loss: -5.8193e+00 - 34ms/epoch - 6ms/step
Epoch 23/1000
6/6 - 0s - loss: -5.8557e+00 - 34ms/epoch - 6ms/step
Epoch 24/1000
6/6 - 0s - loss: -5.8548e+00 - 35ms/epoch - 6ms/step
Epoch 25/1000
6/6 - 0s - loss: -5.9127e+00 - 36ms/epoch - 6ms/step
Epoch 26/1000
6/6 - 0s - loss: -5.9123e+00 - 36ms/epoch - 6ms/step
Epoch 27/1000
6/6 - 0s - loss: -5.9361e+00 - 31ms/epoch - 5ms/step
Epoch 28/1000
6/6 - 0s - loss: -5.9689e+00 - 32ms/epoch - 5ms/step
Epoch 29/1000
6/6 - 0s - loss: -5.9901e+00 - 37ms/epoch - 6ms/step
Epoch 30/1000
6/6 - 0s - loss: -5.9631e+00 - 31ms/epoch - 5ms/step
Epoch 31/1000
6/6 - 0s - loss: -5.9767e+00 - 32ms/epoch - 5ms/step
Epoch 32/1000
6/6 - 0s - loss: -6.0101e+00 - 35ms/epoch - 6ms/step
Epoch 33/1000
6/6 - 0s - loss: -6.0773e+00 - 33ms/epoch - 5ms/step
Epoch 34/1000
6/6 - 0s - loss: -6.0709e+00 - 32ms/epoch - 5ms/step
Epoch 35/1000
6/6 - 0s - loss: -6.0325e+00 - 37ms/epoch - 6ms/step
Epoch 36/1000
6/6 - 0s - loss: -6.0532e+00 - 32ms/epoch - 5ms/step
Epoch 37/1000
6/6 - 0s - loss: -6.0594e+00 - 33ms/epoch - 5ms/step
Epoch 38/1000
6/6 - 0s - loss: -6.0790e+00 - 34ms/epoch - 6ms/step
Epoch 39/1000
6/6 - 0s - loss: -6.0401e+00 - 33ms/epoch - 6ms/step
Epoch 40/1000
6/6 - 0s - loss: -6.0779e+00 - 34ms/epoch - 6ms/step
Epoch 41/1000
6/6 - 0s - loss: -6.0920e+00 - 39ms/epoch - 7ms/step
Epoch 42/1000
6/6 - 0s - loss: -6.1011e+00 - 33ms/epoch - 5ms/step
Epoch 43/1000
6/6 - 0s - loss: -6.0897e+00 - 33ms/epoch - 5ms/step
Epoch 44/1000
6/6 - 0s - loss: -6.0900e+00 - 35ms/epoch - 6ms/step
Epoch 45/1000
6/6 - 0s - loss: -6.0939e+00 - 33ms/epoch - 6ms/step
Epoch 46/1000
6/6 - 0s - loss: -6.1356e+00 - 35ms/epoch - 6ms/step
Epoch 47/1000
6/6 - 0s - loss: -6.1386e+00 - 32ms/epoch - 5ms/step
Epoch 48/1000
6/6 - 0s - loss: -6.1335e+00 - 35ms/epoch - 6ms/step
Epoch 49/1000
6/6 - 0s - loss: -6.1276e+00 - 32ms/epoch - 5ms/step
Epoch 50/1000
6/6 - 0s - loss: -6.1472e+00 - 38ms/epoch - 6ms/step
Epoch 51/1000
6/6 - 0s - loss: -6.1445e+00 - 35ms/epoch - 6ms/step
Epoch 52/1000
6/6 - 0s - loss: -6.1589e+00 - 34ms/epoch - 6ms/step
Epoch 53/1000
6/6 - 0s - loss: -6.1572e+00 - 34ms/epoch - 6ms/step
Epoch 54/1000
6/6 - 0s - loss: -6.1719e+00 - 34ms/epoch - 6ms/step
Epoch 55/1000
6/6 - 0s - loss: -6.1959e+00 - 31ms/epoch - 5ms/step
Epoch 56/1000
6/6 - 0s - loss: -6.1965e+00 - 35ms/epoch - 6ms/step
Epoch 57/1000
6/6 - 0s - loss: -6.2258e+00 - 31ms/epoch - 5ms/step
Epoch 58/1000
6/6 - 0s - loss: -6.1778e+00 - 33ms/epoch - 6ms/step
Epoch 59/1000
6/6 - 0s - loss: -6.1839e+00 - 31ms/epoch - 5ms/step
Epoch 60/1000
6/6 - 0s - loss: -6.1781e+00 - 33ms/epoch - 5ms/step
Epoch 61/1000
6/6 - 0s - loss: -6.2020e+00 - 32ms/epoch - 5ms/step
Epoch 62/1000
6/6 - 0s - loss: -6.2021e+00 - 36ms/epoch - 6ms/step
Epoch 63/1000
6/6 - 0s - loss: -6.2557e+00 - 32ms/epoch - 5ms/step
Epoch 64/1000
6/6 - 0s - loss: -6.2334e+00 - 38ms/epoch - 6ms/step
Epoch 65/1000
6/6 - 0s - loss: -6.2098e+00 - 32ms/epoch - 5ms/step
Epoch 66/1000
6/6 - 0s - loss: -6.1857e+00 - 35ms/epoch - 6ms/step
Epoch 67/1000
6/6 - 0s - loss: -6.0529e+00 - 32ms/epoch - 5ms/step
Epoch 68/1000
6/6 - 0s - loss: -5.9451e+00 - 32ms/epoch - 5ms/step
Epoch 69/1000
6/6 - 0s - loss: -6.0263e+00 - 33ms/epoch - 6ms/step
Epoch 70/1000
6/6 - 0s - loss: -6.1088e+00 - 31ms/epoch - 5ms/step
Epoch 71/1000
6/6 - 0s - loss: -6.1624e+00 - 34ms/epoch - 6ms/step
Epoch 72/1000
6/6 - 0s - loss: -6.1496e+00 - 33ms/epoch - 6ms/step
Epoch 73/1000
6/6 - 0s - loss: -6.1816e+00 - 34ms/epoch - 6ms/step
Epoch 74/1000
6/6 - 0s - loss: -6.2226e+00 - 32ms/epoch - 5ms/step
Epoch 75/1000
6/6 - 0s - loss: -6.2205e+00 - 35ms/epoch - 6ms/step
Epoch 76/1000
6/6 - 0s - loss: -6.2106e+00 - 34ms/epoch - 6ms/step
Epoch 77/1000
6/6 - 0s - loss: -6.2333e+00 - 32ms/epoch - 5ms/step
Epoch 78/1000
6/6 - 0s - loss: -6.2049e+00 - 32ms/epoch - 5ms/step
Epoch 79/1000
6/6 - 0s - loss: -6.2236e+00 - 42ms/epoch - 7ms/step
Epoch 80/1000
6/6 - 0s - loss: -6.2740e+00 - 36ms/epoch - 6ms/step
Epoch 81/1000
6/6 - 0s - loss: -6.2530e+00 - 31ms/epoch - 5ms/step
Epoch 82/1000
6/6 - 0s - loss: -6.2673e+00 - 32ms/epoch - 5ms/step
Epoch 83/1000
6/6 - 0s - loss: -6.2385e+00 - 34ms/epoch - 6ms/step
Epoch 84/1000
6/6 - 0s - loss: -6.2454e+00 - 32ms/epoch - 5ms/step
Epoch 85/1000
6/6 - 0s - loss: -6.2399e+00 - 33ms/epoch - 5ms/step
Epoch 86/1000
6/6 - 0s - loss: -6.2329e+00 - 32ms/epoch - 5ms/step
Epoch 87/1000
6/6 - 0s - loss: -6.2319e+00 - 34ms/epoch - 6ms/step
Epoch 88/1000
6/6 - 0s - loss: -6.2368e+00 - 33ms/epoch - 6ms/step
Epoch 89/1000
6/6 - 0s - loss: -6.2675e+00 - 32ms/epoch - 5ms/step
Epoch 90/1000
6/6 - 0s - loss: -6.2663e+00 - 32ms/epoch - 5ms/step
Epoch 91/1000
6/6 - 0s - loss: -6.2820e+00 - 33ms/epoch - 6ms/step
Epoch 92/1000
6/6 - 0s - loss: -6.2514e+00 - 33ms/epoch - 6ms/step
Epoch 93/1000
6/6 - 0s - loss: -6.2934e+00 - 33ms/epoch - 5ms/step
Epoch 94/1000
6/6 - 0s - loss: -6.3030e+00 - 33ms/epoch - 6ms/step
Epoch 95/1000
6/6 - 0s - loss: -6.2687e+00 - 34ms/epoch - 6ms/step
Epoch 96/1000
6/6 - 0s - loss: -6.3168e+00 - 35ms/epoch - 6ms/step
Epoch 97/1000
6/6 - 0s - loss: -6.3129e+00 - 34ms/epoch - 6ms/step
Epoch 98/1000
6/6 - 0s - loss: -6.2915e+00 - 31ms/epoch - 5ms/step
Epoch 99/1000
6/6 - 0s - loss: -6.2791e+00 - 32ms/epoch - 5ms/step
Epoch 100/1000
6/6 - 0s - loss: -6.2951e+00 - 33ms/epoch - 5ms/step
Epoch 101/1000
6/6 - 0s - loss: -6.2805e+00 - 31ms/epoch - 5ms/step
Epoch 102/1000
6/6 - 0s - loss: -6.2034e+00 - 32ms/epoch - 5ms/step
Epoch 103/1000
6/6 - 0s - loss: -6.2085e+00 - 32ms/epoch - 5ms/step
Epoch 104/1000
6/6 - 0s - loss: -6.2948e+00 - 32ms/epoch - 5ms/step
Epoch 105/1000
6/6 - 0s - loss: -6.2780e+00 - 33ms/epoch - 6ms/step
Epoch 106/1000
6/6 - 0s - loss: -6.3038e+00 - 33ms/epoch - 6ms/step
Epoch 107/1000
6/6 - 0s - loss: -6.3363e+00 - 35ms/epoch - 6ms/step
Epoch 108/1000
6/6 - 0s - loss: -6.3140e+00 - 34ms/epoch - 6ms/step
Epoch 109/1000
6/6 - 0s - loss: -6.3134e+00 - 36ms/epoch - 6ms/step
Epoch 110/1000
6/6 - 0s - loss: -6.3225e+00 - 33ms/epoch - 6ms/step
Epoch 111/1000
6/6 - 0s - loss: -6.3282e+00 - 31ms/epoch - 5ms/step
Epoch 112/1000
6/6 - 0s - loss: -6.3087e+00 - 32ms/epoch - 5ms/step
Epoch 113/1000
6/6 - 0s - loss: -6.2479e+00 - 35ms/epoch - 6ms/step
Epoch 114/1000
6/6 - 0s - loss: -6.2025e+00 - 31ms/epoch - 5ms/step
Epoch 115/1000
6/6 - 0s - loss: -6.2148e+00 - 33ms/epoch - 5ms/step
Epoch 116/1000
6/6 - 0s - loss: -6.2358e+00 - 35ms/epoch - 6ms/step
Epoch 117/1000
6/6 - 0s - loss: -6.2852e+00 - 35ms/epoch - 6ms/step
Epoch 118/1000
6/6 - 0s - loss: -6.3030e+00 - 33ms/epoch - 5ms/step
Epoch 119/1000
6/6 - 0s - loss: -6.2865e+00 - 32ms/epoch - 5ms/step
Epoch 120/1000
6/6 - 0s - loss: -6.3433e+00 - 36ms/epoch - 6ms/step
Epoch 121/1000
6/6 - 0s - loss: -6.3471e+00 - 36ms/epoch - 6ms/step
Epoch 122/1000
6/6 - 0s - loss: -6.3306e+00 - 34ms/epoch - 6ms/step
Epoch 123/1000
6/6 - 0s - loss: -6.3488e+00 - 32ms/epoch - 5ms/step
Epoch 124/1000
6/6 - 0s - loss: -6.3407e+00 - 32ms/epoch - 5ms/step
Epoch 125/1000
6/6 - 0s - loss: -6.3441e+00 - 31ms/epoch - 5ms/step
Epoch 126/1000
6/6 - 0s - loss: -6.3743e+00 - 34ms/epoch - 6ms/step
Epoch 127/1000
6/6 - 0s - loss: -6.3249e+00 - 31ms/epoch - 5ms/step
Epoch 128/1000
6/6 - 0s - loss: -6.3560e+00 - 31ms/epoch - 5ms/step
Epoch 129/1000
6/6 - 0s - loss: -6.3724e+00 - 32ms/epoch - 5ms/step
Epoch 130/1000
6/6 - 0s - loss: -6.4134e+00 - 35ms/epoch - 6ms/step
Epoch 131/1000
6/6 - 0s - loss: -6.3729e+00 - 34ms/epoch - 6ms/step
Epoch 132/1000
6/6 - 0s - loss: -6.3717e+00 - 33ms/epoch - 6ms/step
Epoch 133/1000
6/6 - 0s - loss: -6.3610e+00 - 32ms/epoch - 5ms/step
Epoch 134/1000
6/6 - 0s - loss: -6.3615e+00 - 30ms/epoch - 5ms/step
Epoch 135/1000
6/6 - 0s - loss: -6.3753e+00 - 34ms/epoch - 6ms/step
Epoch 136/1000
6/6 - 0s - loss: -6.3624e+00 - 35ms/epoch - 6ms/step
Epoch 137/1000
6/6 - 0s - loss: -6.3619e+00 - 33ms/epoch - 6ms/step
Epoch 138/1000
6/6 - 0s - loss: -6.3859e+00 - 32ms/epoch - 5ms/step
Epoch 139/1000
6/6 - 0s - loss: -6.3732e+00 - 31ms/epoch - 5ms/step
Epoch 140/1000
6/6 - 0s - loss: -6.3725e+00 - 35ms/epoch - 6ms/step
Epoch 141/1000
6/6 - 0s - loss: -6.3543e+00 - 36ms/epoch - 6ms/step
Epoch 142/1000
6/6 - 0s - loss: -6.3750e+00 - 35ms/epoch - 6ms/step
Epoch 143/1000
6/6 - 0s - loss: -6.4049e+00 - 32ms/epoch - 5ms/step
Epoch 144/1000
6/6 - 0s - loss: -6.3673e+00 - 35ms/epoch - 6ms/step
Epoch 145/1000
6/6 - 0s - loss: -6.3997e+00 - 33ms/epoch - 5ms/step
Epoch 146/1000
6/6 - 0s - loss: -6.4092e+00 - 32ms/epoch - 5ms/step
Epoch 147/1000
6/6 - 0s - loss: -6.3799e+00 - 32ms/epoch - 5ms/step
Epoch 148/1000
6/6 - 0s - loss: -6.3986e+00 - 32ms/epoch - 5ms/step
Epoch 149/1000
6/6 - 0s - loss: -6.4132e+00 - 36ms/epoch - 6ms/step
Epoch 150/1000
6/6 - 0s - loss: -6.4413e+00 - 36ms/epoch - 6ms/step
Epoch 151/1000
6/6 - 0s - loss: -6.4389e+00 - 32ms/epoch - 5ms/step
Epoch 152/1000
6/6 - 0s - loss: -6.4557e+00 - 33ms/epoch - 5ms/step
Epoch 153/1000
6/6 - 0s - loss: -6.4722e+00 - 34ms/epoch - 6ms/step
Epoch 154/1000
6/6 - 0s - loss: -6.4821e+00 - 37ms/epoch - 6ms/step
Epoch 155/1000
6/6 - 0s - loss: -6.5005e+00 - 34ms/epoch - 6ms/step
Epoch 156/1000
6/6 - 0s - loss: -6.4785e+00 - 32ms/epoch - 5ms/step
Epoch 157/1000
6/6 - 0s - loss: -6.4969e+00 - 32ms/epoch - 5ms/step
Epoch 158/1000
6/6 - 0s - loss: -6.4844e+00 - 32ms/epoch - 5ms/step
Epoch 159/1000
6/6 - 0s - loss: -6.4827e+00 - 33ms/epoch - 6ms/step
Epoch 160/1000
6/6 - 0s - loss: -6.5117e+00 - 32ms/epoch - 5ms/step
Epoch 161/1000
6/6 - 0s - loss: -6.5235e+00 - 34ms/epoch - 6ms/step
Epoch 162/1000
6/6 - 0s - loss: -6.5028e+00 - 32ms/epoch - 5ms/step
Epoch 163/1000
6/6 - 0s - loss: -6.5068e+00 - 34ms/epoch - 6ms/step
Epoch 164/1000
6/6 - 0s - loss: -6.5065e+00 - 34ms/epoch - 6ms/step
Epoch 165/1000
6/6 - 0s - loss: -6.5260e+00 - 32ms/epoch - 5ms/step
Epoch 166/1000
6/6 - 0s - loss: -6.4613e+00 - 33ms/epoch - 5ms/step
Epoch 167/1000
6/6 - 0s - loss: -6.4061e+00 - 34ms/epoch - 6ms/step
Epoch 168/1000
6/6 - 0s - loss: -6.4663e+00 - 34ms/epoch - 6ms/step
Epoch 169/1000
6/6 - 0s - loss: -6.4865e+00 - 37ms/epoch - 6ms/step
Epoch 170/1000
6/6 - 0s - loss: -6.5127e+00 - 34ms/epoch - 6ms/step
Epoch 171/1000
6/6 - 0s - loss: -6.5301e+00 - 33ms/epoch - 5ms/step
Epoch 172/1000
6/6 - 0s - loss: -6.5343e+00 - 33ms/epoch - 6ms/step
Epoch 173/1000
6/6 - 0s - loss: -6.5294e+00 - 33ms/epoch - 5ms/step
Epoch 174/1000
6/6 - 0s - loss: -6.5238e+00 - 34ms/epoch - 6ms/step
Epoch 175/1000
6/6 - 0s - loss: -6.5151e+00 - 36ms/epoch - 6ms/step
Epoch 176/1000
6/6 - 0s - loss: -6.5315e+00 - 34ms/epoch - 6ms/step
Epoch 177/1000
6/6 - 0s - loss: -6.5272e+00 - 35ms/epoch - 6ms/step
Epoch 178/1000
6/6 - 0s - loss: -6.5244e+00 - 34ms/epoch - 6ms/step
Epoch 179/1000
6/6 - 0s - loss: -6.5523e+00 - 36ms/epoch - 6ms/step
Epoch 180/1000
6/6 - 0s - loss: -6.5638e+00 - 32ms/epoch - 5ms/step
Epoch 181/1000
6/6 - 0s - loss: -6.5299e+00 - 32ms/epoch - 5ms/step
Epoch 182/1000
6/6 - 0s - loss: -6.4873e+00 - 32ms/epoch - 5ms/step
Epoch 183/1000
6/6 - 0s - loss: -6.4561e+00 - 31ms/epoch - 5ms/step
Epoch 184/1000
6/6 - 0s - loss: -6.4840e+00 - 33ms/epoch - 5ms/step
Epoch 185/1000
6/6 - 0s - loss: -6.5313e+00 - 32ms/epoch - 5ms/step
Epoch 186/1000
6/6 - 0s - loss: -6.5417e+00 - 29ms/epoch - 5ms/step
Epoch 187/1000
6/6 - 0s - loss: -6.5411e+00 - 34ms/epoch - 6ms/step
Epoch 188/1000
6/6 - 0s - loss: -6.5512e+00 - 31ms/epoch - 5ms/step
Epoch 189/1000
6/6 - 0s - loss: -6.5463e+00 - 34ms/epoch - 6ms/step
Epoch 190/1000
6/6 - 0s - loss: -6.5266e+00 - 32ms/epoch - 5ms/step
Epoch 191/1000
6/6 - 0s - loss: -6.5366e+00 - 32ms/epoch - 5ms/step
Epoch 192/1000
6/6 - 0s - loss: -6.5527e+00 - 33ms/epoch - 5ms/step
Epoch 193/1000
6/6 - 0s - loss: -6.5547e+00 - 32ms/epoch - 5ms/step
Epoch 194/1000
6/6 - 0s - loss: -6.5557e+00 - 36ms/epoch - 6ms/step
Epoch 195/1000
6/6 - 0s - loss: -6.5513e+00 - 32ms/epoch - 5ms/step
Epoch 196/1000
6/6 - 0s - loss: -6.5424e+00 - 33ms/epoch - 6ms/step
Epoch 197/1000
6/6 - 0s - loss: -6.5643e+00 - 35ms/epoch - 6ms/step
Epoch 198/1000
6/6 - 0s - loss: -6.5698e+00 - 36ms/epoch - 6ms/step
Epoch 199/1000
6/6 - 0s - loss: -6.5633e+00 - 34ms/epoch - 6ms/step
Epoch 200/1000
6/6 - 0s - loss: -6.5710e+00 - 32ms/epoch - 5ms/step
Epoch 201/1000
6/6 - 0s - loss: -6.5656e+00 - 32ms/epoch - 5ms/step
Epoch 202/1000
6/6 - 0s - loss: -6.5890e+00 - 35ms/epoch - 6ms/step
Epoch 203/1000
6/6 - 0s - loss: -6.5671e+00 - 31ms/epoch - 5ms/step
Epoch 204/1000
6/6 - 0s - loss: -6.5196e+00 - 33ms/epoch - 5ms/step
Epoch 205/1000
6/6 - 0s - loss: -6.4408e+00 - 31ms/epoch - 5ms/step
Epoch 206/1000
6/6 - 0s - loss: -6.4047e+00 - 36ms/epoch - 6ms/step
Epoch 207/1000
6/6 - 0s - loss: -6.4271e+00 - 34ms/epoch - 6ms/step
Epoch 208/1000
6/6 - 0s - loss: -6.4230e+00 - 32ms/epoch - 5ms/step
Epoch 209/1000
6/6 - 0s - loss: -6.4581e+00 - 32ms/epoch - 5ms/step
Epoch 210/1000
6/6 - 0s - loss: -6.4908e+00 - 34ms/epoch - 6ms/step
Epoch 211/1000
6/6 - 0s - loss: -6.5200e+00 - 36ms/epoch - 6ms/step
Epoch 212/1000
6/6 - 0s - loss: -6.5415e+00 - 36ms/epoch - 6ms/step
Epoch 213/1000
6/6 - 0s - loss: -6.5326e+00 - 35ms/epoch - 6ms/step
Epoch 214/1000
6/6 - 0s - loss: -6.4641e+00 - 34ms/epoch - 6ms/step
Epoch 215/1000
6/6 - 0s - loss: -6.4296e+00 - 37ms/epoch - 6ms/step
Epoch 216/1000
6/6 - 0s - loss: -6.4938e+00 - 38ms/epoch - 6ms/step
Epoch 217/1000
6/6 - 0s - loss: -6.5107e+00 - 33ms/epoch - 6ms/step
Epoch 218/1000
6/6 - 0s - loss: -6.5180e+00 - 35ms/epoch - 6ms/step
Epoch 219/1000
6/6 - 0s - loss: -6.5417e+00 - 35ms/epoch - 6ms/step
Epoch 220/1000
6/6 - 0s - loss: -6.5631e+00 - 34ms/epoch - 6ms/step
Epoch 221/1000
6/6 - 0s - loss: -6.5852e+00 - 32ms/epoch - 5ms/step
Epoch 222/1000
6/6 - 0s - loss: -6.5821e+00 - 34ms/epoch - 6ms/step
Epoch 223/1000
6/6 - 0s - loss: -6.5571e+00 - 33ms/epoch - 6ms/step
Epoch 224/1000
6/6 - 0s - loss: -6.5685e+00 - 31ms/epoch - 5ms/step
Epoch 225/1000
6/6 - 0s - loss: -6.5631e+00 - 32ms/epoch - 5ms/step
Epoch 226/1000
6/6 - 0s - loss: -6.5668e+00 - 34ms/epoch - 6ms/step
Epoch 227/1000
6/6 - 0s - loss: -6.5757e+00 - 33ms/epoch - 5ms/step
Epoch 228/1000
6/6 - 0s - loss: -6.5616e+00 - 34ms/epoch - 6ms/step
Epoch 229/1000
6/6 - 0s - loss: -6.5737e+00 - 35ms/epoch - 6ms/step
Epoch 230/1000
6/6 - 0s - loss: -6.5961e+00 - 33ms/epoch - 6ms/step
Epoch 231/1000
6/6 - 0s - loss: -6.5744e+00 - 33ms/epoch - 6ms/step
Epoch 232/1000
6/6 - 0s - loss: -6.5778e+00 - 30ms/epoch - 5ms/step
Epoch 233/1000
6/6 - 0s - loss: -6.5940e+00 - 32ms/epoch - 5ms/step
Epoch 234/1000
6/6 - 0s - loss: -6.6027e+00 - 35ms/epoch - 6ms/step
Epoch 235/1000
6/6 - 0s - loss: -6.5799e+00 - 34ms/epoch - 6ms/step
Epoch 236/1000
6/6 - 0s - loss: -6.5568e+00 - 31ms/epoch - 5ms/step
Epoch 237/1000
6/6 - 0s - loss: -6.5765e+00 - 32ms/epoch - 5ms/step
Epoch 238/1000
6/6 - 0s - loss: -6.5847e+00 - 33ms/epoch - 6ms/step
Epoch 239/1000
6/6 - 0s - loss: -6.5970e+00 - 34ms/epoch - 6ms/step
Epoch 240/1000
6/6 - 0s - loss: -6.6067e+00 - 32ms/epoch - 5ms/step
Epoch 241/1000
6/6 - 0s - loss: -6.5922e+00 - 32ms/epoch - 5ms/step
Epoch 242/1000
6/6 - 0s - loss: -6.6075e+00 - 32ms/epoch - 5ms/step
Epoch 243/1000
6/6 - 0s - loss: -6.5949e+00 - 34ms/epoch - 6ms/step
Epoch 244/1000
6/6 - 0s - loss: -6.6085e+00 - 31ms/epoch - 5ms/step
Epoch 245/1000
6/6 - 0s - loss: -6.5143e+00 - 34ms/epoch - 6ms/step
Epoch 246/1000
6/6 - 0s - loss: -6.3477e+00 - 31ms/epoch - 5ms/step
Epoch 247/1000
6/6 - 0s - loss: -6.2227e+00 - 34ms/epoch - 6ms/step
Epoch 248/1000
6/6 - 0s - loss: -6.2082e+00 - 42ms/epoch - 7ms/step
Epoch 249/1000
6/6 - 0s - loss: -6.2511e+00 - 34ms/epoch - 6ms/step
Epoch 250/1000
6/6 - 0s - loss: -6.3361e+00 - 32ms/epoch - 5ms/step
Epoch 251/1000
6/6 - 0s - loss: -6.4102e+00 - 32ms/epoch - 5ms/step
Epoch 252/1000
6/6 - 0s - loss: -6.4284e+00 - 35ms/epoch - 6ms/step
Epoch 253/1000
6/6 - 0s - loss: -6.4461e+00 - 33ms/epoch - 5ms/step
Epoch 254/1000
6/6 - 0s - loss: -6.4882e+00 - 33ms/epoch - 5ms/step
Epoch 255/1000
6/6 - 0s - loss: -6.5093e+00 - 37ms/epoch - 6ms/step
Epoch 256/1000
6/6 - 0s - loss: -6.5368e+00 - 34ms/epoch - 6ms/step
Epoch 257/1000
6/6 - 0s - loss: -6.5224e+00 - 33ms/epoch - 5ms/step
Epoch 258/1000
6/6 - 0s - loss: -6.5562e+00 - 32ms/epoch - 5ms/step
Epoch 259/1000
6/6 - 0s - loss: -6.5438e+00 - 32ms/epoch - 5ms/step
Epoch 260/1000
6/6 - 0s - loss: -6.5555e+00 - 30ms/epoch - 5ms/step
Epoch 261/1000
6/6 - 0s - loss: -6.5810e+00 - 33ms/epoch - 6ms/step
Epoch 262/1000
6/6 - 0s - loss: -6.5834e+00 - 39ms/epoch - 7ms/step
Epoch 263/1000
6/6 - 0s - loss: -6.5877e+00 - 35ms/epoch - 6ms/step
Epoch 264/1000
6/6 - 0s - loss: -6.5728e+00 - 32ms/epoch - 5ms/step
Epoch 265/1000
6/6 - 0s - loss: -6.5752e+00 - 33ms/epoch - 5ms/step
Epoch 266/1000
6/6 - 0s - loss: -6.5947e+00 - 36ms/epoch - 6ms/step
Epoch 267/1000
6/6 - 0s - loss: -6.5867e+00 - 32ms/epoch - 5ms/step
Epoch 268/1000
6/6 - 0s - loss: -6.5907e+00 - 32ms/epoch - 5ms/step
Epoch 269/1000
6/6 - 0s - loss: -6.6042e+00 - 34ms/epoch - 6ms/step
Epoch 270/1000
6/6 - 0s - loss: -6.5963e+00 - 32ms/epoch - 5ms/step
Epoch 271/1000
6/6 - 0s - loss: -6.5876e+00 - 33ms/epoch - 6ms/step
Epoch 272/1000
6/6 - 0s - loss: -6.5945e+00 - 34ms/epoch - 6ms/step
Epoch 273/1000
6/6 - 0s - loss: -6.5871e+00 - 32ms/epoch - 5ms/step
Epoch 274/1000
6/6 - 0s - loss: -6.6076e+00 - 33ms/epoch - 6ms/step
Epoch 275/1000
6/6 - 0s - loss: -6.5962e+00 - 34ms/epoch - 6ms/step
Epoch 276/1000
6/6 - 0s - loss: -6.6021e+00 - 31ms/epoch - 5ms/step
Epoch 277/1000
6/6 - 0s - loss: -6.5949e+00 - 32ms/epoch - 5ms/step
Epoch 278/1000
6/6 - 0s - loss: -6.6066e+00 - 35ms/epoch - 6ms/step
Epoch 279/1000
6/6 - 0s - loss: -6.6066e+00 - 34ms/epoch - 6ms/step
Epoch 280/1000
6/6 - 0s - loss: -6.6091e+00 - 32ms/epoch - 5ms/step
Epoch 281/1000
6/6 - 0s - loss: -6.6050e+00 - 33ms/epoch - 6ms/step
Epoch 282/1000
6/6 - 0s - loss: -6.6070e+00 - 33ms/epoch - 5ms/step
Epoch 283/1000
6/6 - 0s - loss: -6.6051e+00 - 40ms/epoch - 7ms/step
Epoch 284/1000
6/6 - 0s - loss: -6.6061e+00 - 32ms/epoch - 5ms/step
Epoch 285/1000
6/6 - 0s - loss: -6.6019e+00 - 32ms/epoch - 5ms/step
Epoch 286/1000
6/6 - 0s - loss: -6.6059e+00 - 30ms/epoch - 5ms/step
Epoch 287/1000
6/6 - 0s - loss: -6.6029e+00 - 34ms/epoch - 6ms/step
Epoch 288/1000
6/6 - 0s - loss: -6.6187e+00 - 33ms/epoch - 6ms/step
Epoch 289/1000
6/6 - 0s - loss: -6.6052e+00 - 34ms/epoch - 6ms/step
Epoch 290/1000
6/6 - 0s - loss: -6.6221e+00 - 32ms/epoch - 5ms/step
Epoch 291/1000
6/6 - 0s - loss: -6.6111e+00 - 36ms/epoch - 6ms/step
Epoch 292/1000
6/6 - 0s - loss: -6.6215e+00 - 33ms/epoch - 6ms/step
Epoch 293/1000
6/6 - 0s - loss: -6.6139e+00 - 33ms/epoch - 5ms/step
Epoch 294/1000
6/6 - 0s - loss: -6.6320e+00 - 35ms/epoch - 6ms/step
Epoch 295/1000
6/6 - 0s - loss: -6.5985e+00 - 35ms/epoch - 6ms/step
Epoch 296/1000
6/6 - 0s - loss: -6.6048e+00 - 32ms/epoch - 5ms/step
Epoch 297/1000
6/6 - 0s - loss: -6.6166e+00 - 36ms/epoch - 6ms/step
Epoch 298/1000
6/6 - 0s - loss: -6.6311e+00 - 34ms/epoch - 6ms/step
Epoch 299/1000
6/6 - 0s - loss: -6.6180e+00 - 33ms/epoch - 5ms/step
Epoch 300/1000
6/6 - 0s - loss: -6.6245e+00 - 33ms/epoch - 6ms/step
Epoch 301/1000
6/6 - 0s - loss: -6.6414e+00 - 33ms/epoch - 6ms/step
Epoch 302/1000
6/6 - 0s - loss: -6.6365e+00 - 35ms/epoch - 6ms/step
Epoch 303/1000
6/6 - 0s - loss: -6.6315e+00 - 32ms/epoch - 5ms/step
Epoch 304/1000
6/6 - 0s - loss: -6.6196e+00 - 36ms/epoch - 6ms/step
Epoch 305/1000
6/6 - 0s - loss: -6.6299e+00 - 31ms/epoch - 5ms/step
Epoch 306/1000
6/6 - 0s - loss: -6.6488e+00 - 32ms/epoch - 5ms/step
Epoch 307/1000
6/6 - 0s - loss: -6.6360e+00 - 35ms/epoch - 6ms/step
Epoch 308/1000
6/6 - 0s - loss: -6.6307e+00 - 34ms/epoch - 6ms/step
Epoch 309/1000
6/6 - 0s - loss: -6.6418e+00 - 32ms/epoch - 5ms/step
Epoch 310/1000
6/6 - 0s - loss: -6.6481e+00 - 32ms/epoch - 5ms/step
Epoch 311/1000
6/6 - 0s - loss: -6.6407e+00 - 37ms/epoch - 6ms/step
Epoch 312/1000
6/6 - 0s - loss: -6.6432e+00 - 38ms/epoch - 6ms/step
Epoch 313/1000
6/6 - 0s - loss: -6.6461e+00 - 32ms/epoch - 5ms/step
Epoch 314/1000
6/6 - 0s - loss: -6.6287e+00 - 31ms/epoch - 5ms/step
Epoch 315/1000
6/6 - 0s - loss: -6.5800e+00 - 34ms/epoch - 6ms/step
Epoch 316/1000
6/6 - 0s - loss: -6.6352e+00 - 32ms/epoch - 5ms/step
Epoch 317/1000
6/6 - 0s - loss: -6.6365e+00 - 32ms/epoch - 5ms/step
Epoch 318/1000
6/6 - 0s - loss: -6.6428e+00 - 32ms/epoch - 5ms/step
Epoch 319/1000
6/6 - 0s - loss: -6.6476e+00 - 36ms/epoch - 6ms/step
Epoch 320/1000
6/6 - 0s - loss: -6.6295e+00 - 34ms/epoch - 6ms/step
Epoch 321/1000
6/6 - 0s - loss: -6.6436e+00 - 31ms/epoch - 5ms/step
Epoch 322/1000
6/6 - 0s - loss: -6.6530e+00 - 34ms/epoch - 6ms/step
Epoch 323/1000
6/6 - 0s - loss: -6.6362e+00 - 33ms/epoch - 5ms/step
Epoch 324/1000
6/6 - 0s - loss: -6.6328e+00 - 37ms/epoch - 6ms/step
Epoch 325/1000
6/6 - 0s - loss: -6.6455e+00 - 35ms/epoch - 6ms/step
Epoch 326/1000
6/6 - 0s - loss: -6.6415e+00 - 37ms/epoch - 6ms/step
Epoch 327/1000
6/6 - 0s - loss: -6.6393e+00 - 38ms/epoch - 6ms/step
Epoch 328/1000
6/6 - 0s - loss: -6.6412e+00 - 36ms/epoch - 6ms/step
Epoch 329/1000
6/6 - 0s - loss: -6.6485e+00 - 37ms/epoch - 6ms/step
Epoch 330/1000
6/6 - 0s - loss: -6.6514e+00 - 35ms/epoch - 6ms/step
Epoch 331/1000
6/6 - 0s - loss: -6.6353e+00 - 34ms/epoch - 6ms/step
Epoch 332/1000
6/6 - 0s - loss: -6.6466e+00 - 34ms/epoch - 6ms/step
Epoch 333/1000
6/6 - 0s - loss: -6.6537e+00 - 36ms/epoch - 6ms/step
Epoch 334/1000
6/6 - 0s - loss: -6.6461e+00 - 35ms/epoch - 6ms/step
Epoch 335/1000
6/6 - 0s - loss: -6.6448e+00 - 34ms/epoch - 6ms/step
Epoch 336/1000
6/6 - 0s - loss: -6.6632e+00 - 34ms/epoch - 6ms/step
Epoch 337/1000
6/6 - 0s - loss: -6.6467e+00 - 35ms/epoch - 6ms/step
Epoch 338/1000
6/6 - 0s - loss: -6.6594e+00 - 36ms/epoch - 6ms/step
Epoch 339/1000
6/6 - 0s - loss: -6.6580e+00 - 34ms/epoch - 6ms/step
Epoch 340/1000
6/6 - 0s - loss: -6.6547e+00 - 37ms/epoch - 6ms/step
Epoch 341/1000
6/6 - 0s - loss: -6.6562e+00 - 35ms/epoch - 6ms/step
Epoch 342/1000
6/6 - 0s - loss: -6.6476e+00 - 35ms/epoch - 6ms/step
Epoch 343/1000
6/6 - 0s - loss: -6.6391e+00 - 34ms/epoch - 6ms/step
Epoch 344/1000
6/6 - 0s - loss: -6.6379e+00 - 34ms/epoch - 6ms/step
Epoch 345/1000
6/6 - 0s - loss: -6.6549e+00 - 34ms/epoch - 6ms/step
Epoch 346/1000
6/6 - 0s - loss: -6.6431e+00 - 34ms/epoch - 6ms/step
Epoch 347/1000
6/6 - 0s - loss: -6.6515e+00 - 32ms/epoch - 5ms/step
Epoch 348/1000
6/6 - 0s - loss: -6.6329e+00 - 32ms/epoch - 5ms/step
Epoch 349/1000
6/6 - 0s - loss: -6.6578e+00 - 33ms/epoch - 5ms/step
Epoch 350/1000
6/6 - 0s - loss: -6.6433e+00 - 35ms/epoch - 6ms/step
Epoch 351/1000
6/6 - 0s - loss: -6.6653e+00 - 32ms/epoch - 5ms/step
Epoch 352/1000
6/6 - 0s - loss: -6.6594e+00 - 34ms/epoch - 6ms/step
Epoch 353/1000
6/6 - 0s - loss: -6.6543e+00 - 32ms/epoch - 5ms/step
Epoch 354/1000
6/6 - 0s - loss: -6.6561e+00 - 34ms/epoch - 6ms/step
Epoch 355/1000
6/6 - 0s - loss: -6.6476e+00 - 32ms/epoch - 5ms/step
Epoch 356/1000
6/6 - 0s - loss: -6.6589e+00 - 32ms/epoch - 5ms/step
Epoch 357/1000
6/6 - 0s - loss: -6.6653e+00 - 32ms/epoch - 5ms/step
Epoch 358/1000
6/6 - 0s - loss: -6.6498e+00 - 32ms/epoch - 5ms/step
Epoch 359/1000
6/6 - 0s - loss: -6.6622e+00 - 34ms/epoch - 6ms/step
Epoch 360/1000
6/6 - 0s - loss: -6.6684e+00 - 33ms/epoch - 6ms/step
Epoch 361/1000
6/6 - 0s - loss: -6.6615e+00 - 33ms/epoch - 6ms/step
Epoch 362/1000
6/6 - 0s - loss: -6.6635e+00 - 32ms/epoch - 5ms/step
Epoch 363/1000
6/6 - 0s - loss: -6.6507e+00 - 33ms/epoch - 6ms/step
Epoch 364/1000
6/6 - 0s - loss: -6.6630e+00 - 31ms/epoch - 5ms/step
Epoch 365/1000
6/6 - 0s - loss: -6.6589e+00 - 36ms/epoch - 6ms/step
Epoch 366/1000
6/6 - 0s - loss: -6.6647e+00 - 39ms/epoch - 7ms/step
Epoch 367/1000
6/6 - 0s - loss: -6.6418e+00 - 38ms/epoch - 6ms/step
Epoch 368/1000
6/6 - 0s - loss: -6.6508e+00 - 36ms/epoch - 6ms/step
Epoch 369/1000
6/6 - 0s - loss: -6.6320e+00 - 37ms/epoch - 6ms/step
Epoch 370/1000
6/6 - 0s - loss: -6.6551e+00 - 36ms/epoch - 6ms/step
Epoch 371/1000
6/6 - 0s - loss: -6.6552e+00 - 37ms/epoch - 6ms/step
Epoch 372/1000
6/6 - 0s - loss: -6.6570e+00 - 37ms/epoch - 6ms/step
Epoch 373/1000
6/6 - 0s - loss: -6.6547e+00 - 37ms/epoch - 6ms/step
Epoch 374/1000
6/6 - 0s - loss: -6.6469e+00 - 43ms/epoch - 7ms/step
Epoch 375/1000
6/6 - 0s - loss: -6.6519e+00 - 36ms/epoch - 6ms/step
Epoch 376/1000
6/6 - 0s - loss: -6.6511e+00 - 32ms/epoch - 5ms/step
Epoch 377/1000
6/6 - 0s - loss: -6.6565e+00 - 37ms/epoch - 6ms/step
Epoch 378/1000
6/6 - 0s - loss: -6.6663e+00 - 35ms/epoch - 6ms/step
Epoch 379/1000
6/6 - 0s - loss: -6.6731e+00 - 34ms/epoch - 6ms/step
Epoch 380/1000
6/6 - 0s - loss: -6.6541e+00 - 33ms/epoch - 5ms/step
Epoch 381/1000
6/6 - 0s - loss: -6.6452e+00 - 32ms/epoch - 5ms/step
Epoch 382/1000
6/6 - 0s - loss: -6.6379e+00 - 31ms/epoch - 5ms/step
Epoch 383/1000
6/6 - 0s - loss: -6.6554e+00 - 33ms/epoch - 6ms/step
Epoch 384/1000
6/6 - 0s - loss: -6.6477e+00 - 33ms/epoch - 5ms/step
Epoch 385/1000
6/6 - 0s - loss: -6.6582e+00 - 33ms/epoch - 5ms/step
Epoch 386/1000
6/6 - 0s - loss: -6.6478e+00 - 32ms/epoch - 5ms/step
Epoch 387/1000
6/6 - 0s - loss: -6.6608e+00 - 34ms/epoch - 6ms/step
Epoch 388/1000
6/6 - 0s - loss: -6.6694e+00 - 32ms/epoch - 5ms/step
Epoch 389/1000
6/6 - 0s - loss: -6.6571e+00 - 32ms/epoch - 5ms/step
Epoch 390/1000
6/6 - 0s - loss: -6.6565e+00 - 33ms/epoch - 6ms/step
Epoch 391/1000
6/6 - 0s - loss: -6.6530e+00 - 34ms/epoch - 6ms/step
Epoch 392/1000
6/6 - 0s - loss: -6.6550e+00 - 33ms/epoch - 6ms/step
Epoch 393/1000
6/6 - 0s - loss: -6.6647e+00 - 33ms/epoch - 6ms/step
Epoch 394/1000
6/6 - 0s - loss: -6.6456e+00 - 32ms/epoch - 5ms/step
Epoch 395/1000
6/6 - 0s - loss: -6.6515e+00 - 35ms/epoch - 6ms/step
Epoch 396/1000
6/6 - 0s - loss: -6.6431e+00 - 32ms/epoch - 5ms/step
Epoch 397/1000
6/6 - 0s - loss: -6.6685e+00 - 35ms/epoch - 6ms/step
Epoch 398/1000
6/6 - 0s - loss: -6.6587e+00 - 32ms/epoch - 5ms/step
Epoch 399/1000
6/6 - 0s - loss: -6.6601e+00 - 32ms/epoch - 5ms/step
Epoch 400/1000
6/6 - 0s - loss: -6.6569e+00 - 34ms/epoch - 6ms/step
Epoch 401/1000
6/6 - 0s - loss: -6.6634e+00 - 32ms/epoch - 5ms/step
Epoch 402/1000
6/6 - 0s - loss: -6.6720e+00 - 32ms/epoch - 5ms/step
Epoch 403/1000
6/6 - 0s - loss: -6.6676e+00 - 34ms/epoch - 6ms/step
Epoch 404/1000
6/6 - 0s - loss: -6.6581e+00 - 35ms/epoch - 6ms/step
Epoch 405/1000
6/6 - 0s - loss: -6.6553e+00 - 35ms/epoch - 6ms/step
Epoch 406/1000
6/6 - 0s - loss: -6.6556e+00 - 33ms/epoch - 5ms/step
Epoch 407/1000
6/6 - 0s - loss: -6.6522e+00 - 31ms/epoch - 5ms/step
Epoch 408/1000
6/6 - 0s - loss: -6.6371e+00 - 33ms/epoch - 6ms/step
Epoch 409/1000
6/6 - 0s - loss: -6.6550e+00 - 34ms/epoch - 6ms/step
Epoch 410/1000
6/6 - 0s - loss: -6.6616e+00 - 35ms/epoch - 6ms/step
Epoch 411/1000
6/6 - 0s - loss: -6.6521e+00 - 34ms/epoch - 6ms/step
Epoch 412/1000
6/6 - 0s - loss: -6.5831e+00 - 34ms/epoch - 6ms/step
Epoch 413/1000
6/6 - 0s - loss: -6.5487e+00 - 36ms/epoch - 6ms/step
Epoch 414/1000
6/6 - 0s - loss: -6.5967e+00 - 36ms/epoch - 6ms/step
Epoch 415/1000
6/6 - 0s - loss: -6.6321e+00 - 32ms/epoch - 5ms/step
Epoch 416/1000
6/6 - 0s - loss: -6.6214e+00 - 33ms/epoch - 6ms/step
Epoch 417/1000
6/6 - 0s - loss: -6.6354e+00 - 32ms/epoch - 5ms/step
Epoch 418/1000
6/6 - 0s - loss: -6.6382e+00 - 33ms/epoch - 6ms/step
Epoch 419/1000
6/6 - 0s - loss: -6.6437e+00 - 32ms/epoch - 5ms/step
Epoch 420/1000
6/6 - 0s - loss: -6.6509e+00 - 31ms/epoch - 5ms/step
Epoch 421/1000
6/6 - 0s - loss: -6.6445e+00 - 34ms/epoch - 6ms/step
Epoch 422/1000
6/6 - 0s - loss: -6.6266e+00 - 35ms/epoch - 6ms/step
Epoch 423/1000
6/6 - 0s - loss: -6.6423e+00 - 33ms/epoch - 6ms/step
Epoch 424/1000
6/6 - 0s - loss: -6.6247e+00 - 32ms/epoch - 5ms/step
Epoch 425/1000
6/6 - 0s - loss: -6.6269e+00 - 33ms/epoch - 6ms/step
Epoch 426/1000
6/6 - 0s - loss: -6.6227e+00 - 35ms/epoch - 6ms/step
Epoch 427/1000
6/6 - 0s - loss: -6.6241e+00 - 31ms/epoch - 5ms/step
Epoch 428/1000
6/6 - 0s - loss: -6.6337e+00 - 30ms/epoch - 5ms/step
Epoch 429/1000
6/6 - 0s - loss: -6.6563e+00 - 33ms/epoch - 5ms/step
Epoch 430/1000
6/6 - 0s - loss: -6.6484e+00 - 33ms/epoch - 5ms/step
Epoch 431/1000
6/6 - 0s - loss: -6.6479e+00 - 37ms/epoch - 6ms/step
Epoch 432/1000
6/6 - 0s - loss: -6.6472e+00 - 32ms/epoch - 5ms/step
Epoch 433/1000
6/6 - 0s - loss: -6.6595e+00 - 38ms/epoch - 6ms/step
Epoch 434/1000
6/6 - 0s - loss: -6.6558e+00 - 34ms/epoch - 6ms/step
Epoch 435/1000
6/6 - 0s - loss: -6.6559e+00 - 37ms/epoch - 6ms/step
Epoch 436/1000
6/6 - 0s - loss: -6.6514e+00 - 35ms/epoch - 6ms/step
Epoch 437/1000
6/6 - 0s - loss: -6.6712e+00 - 35ms/epoch - 6ms/step
Epoch 438/1000
6/6 - 0s - loss: -6.6503e+00 - 35ms/epoch - 6ms/step
Epoch 439/1000
6/6 - 0s - loss: -6.6543e+00 - 35ms/epoch - 6ms/step
Epoch 440/1000
6/6 - 0s - loss: -6.6682e+00 - 32ms/epoch - 5ms/step
Epoch 441/1000
6/6 - 0s - loss: -6.6715e+00 - 34ms/epoch - 6ms/step
Epoch 442/1000
6/6 - 0s - loss: -6.6607e+00 - 33ms/epoch - 5ms/step
Epoch 443/1000
6/6 - 0s - loss: -6.6727e+00 - 31ms/epoch - 5ms/step
Epoch 444/1000
6/6 - 0s - loss: -6.6674e+00 - 33ms/epoch - 6ms/step
Epoch 445/1000
6/6 - 0s - loss: -6.6633e+00 - 34ms/epoch - 6ms/step
Epoch 446/1000
6/6 - 0s - loss: -6.6647e+00 - 33ms/epoch - 6ms/step
Epoch 447/1000
6/6 - 0s - loss: -6.6700e+00 - 31ms/epoch - 5ms/step
Epoch 448/1000
6/6 - 0s - loss: -6.6650e+00 - 33ms/epoch - 6ms/step
Epoch 449/1000
6/6 - 0s - loss: -6.6713e+00 - 33ms/epoch - 5ms/step
Epoch 450/1000
6/6 - 0s - loss: -6.6677e+00 - 32ms/epoch - 5ms/step
Epoch 451/1000
6/6 - 0s - loss: -6.6827e+00 - 33ms/epoch - 6ms/step
Epoch 452/1000
6/6 - 0s - loss: -6.6819e+00 - 34ms/epoch - 6ms/step
Epoch 453/1000
6/6 - 0s - loss: -6.6642e+00 - 31ms/epoch - 5ms/step
Epoch 454/1000
6/6 - 0s - loss: -6.6337e+00 - 33ms/epoch - 6ms/step
Epoch 455/1000
6/6 - 0s - loss: -6.6316e+00 - 33ms/epoch - 5ms/step
Epoch 456/1000
6/6 - 0s - loss: -6.6208e+00 - 34ms/epoch - 6ms/step
Epoch 457/1000
6/6 - 0s - loss: -6.6366e+00 - 34ms/epoch - 6ms/step
Epoch 458/1000
6/6 - 0s - loss: -6.6458e+00 - 31ms/epoch - 5ms/step
Epoch 459/1000
6/6 - 0s - loss: -6.6492e+00 - 33ms/epoch - 6ms/step
Epoch 460/1000
6/6 - 0s - loss: -6.6564e+00 - 34ms/epoch - 6ms/step
Epoch 461/1000
6/6 - 0s - loss: -6.6632e+00 - 32ms/epoch - 5ms/step
Epoch 462/1000
6/6 - 0s - loss: -6.6434e+00 - 33ms/epoch - 6ms/step
Epoch 463/1000
6/6 - 0s - loss: -6.6327e+00 - 34ms/epoch - 6ms/step
Epoch 464/1000
6/6 - 0s - loss: -6.6200e+00 - 32ms/epoch - 5ms/step
Epoch 465/1000
6/6 - 0s - loss: -6.6191e+00 - 34ms/epoch - 6ms/step
Epoch 466/1000
6/6 - 0s - loss: -6.6247e+00 - 32ms/epoch - 5ms/step
Epoch 467/1000
6/6 - 0s - loss: -6.6340e+00 - 33ms/epoch - 5ms/step
Epoch 468/1000
6/6 - 0s - loss: -6.6358e+00 - 32ms/epoch - 5ms/step
Epoch 469/1000
6/6 - 0s - loss: -6.6325e+00 - 33ms/epoch - 5ms/step
Epoch 470/1000
6/6 - 0s - loss: -6.6368e+00 - 35ms/epoch - 6ms/step
Epoch 471/1000
6/6 - 0s - loss: -6.6242e+00 - 34ms/epoch - 6ms/step
Epoch 472/1000
6/6 - 0s - loss: -6.6193e+00 - 37ms/epoch - 6ms/step
Epoch 473/1000
6/6 - 0s - loss: -6.6315e+00 - 32ms/epoch - 5ms/step
Epoch 474/1000
6/6 - 0s - loss: -6.6525e+00 - 39ms/epoch - 7ms/step
Epoch 475/1000
6/6 - 0s - loss: -6.6604e+00 - 33ms/epoch - 5ms/step
Epoch 476/1000
6/6 - 0s - loss: -6.6678e+00 - 33ms/epoch - 5ms/step
Epoch 477/1000
6/6 - 0s - loss: -6.6613e+00 - 33ms/epoch - 6ms/step
Epoch 478/1000
6/6 - 0s - loss: -6.6531e+00 - 37ms/epoch - 6ms/step
Epoch 479/1000
6/6 - 0s - loss: -6.6576e+00 - 33ms/epoch - 6ms/step
Epoch 480/1000
6/6 - 0s - loss: -6.6493e+00 - 33ms/epoch - 6ms/step
Epoch 481/1000
6/6 - 0s - loss: -6.6671e+00 - 33ms/epoch - 5ms/step
Epoch 482/1000
6/6 - 0s - loss: -6.6572e+00 - 32ms/epoch - 5ms/step
Epoch 483/1000
6/6 - 0s - loss: -6.6645e+00 - 33ms/epoch - 6ms/step
Epoch 484/1000
6/6 - 0s - loss: -6.6615e+00 - 32ms/epoch - 5ms/step
Epoch 485/1000
6/6 - 0s - loss: -6.6704e+00 - 31ms/epoch - 5ms/step
Epoch 486/1000
6/6 - 0s - loss: -6.6599e+00 - 32ms/epoch - 5ms/step
Epoch 487/1000
6/6 - 0s - loss: -6.6603e+00 - 33ms/epoch - 6ms/step
Epoch 488/1000
6/6 - 0s - loss: -6.6705e+00 - 35ms/epoch - 6ms/step
Epoch 489/1000
6/6 - 0s - loss: -6.6600e+00 - 32ms/epoch - 5ms/step
Epoch 490/1000
6/6 - 0s - loss: -6.6590e+00 - 32ms/epoch - 5ms/step
Epoch 491/1000
6/6 - 0s - loss: -6.6661e+00 - 32ms/epoch - 5ms/step
Epoch 492/1000
6/6 - 0s - loss: -6.6689e+00 - 34ms/epoch - 6ms/step
Epoch 493/1000
6/6 - 0s - loss: -6.6550e+00 - 33ms/epoch - 6ms/step
Epoch 494/1000
6/6 - 0s - loss: -6.6673e+00 - 33ms/epoch - 6ms/step
Epoch 495/1000
6/6 - 0s - loss: -6.6585e+00 - 36ms/epoch - 6ms/step
Epoch 496/1000
6/6 - 0s - loss: -6.6565e+00 - 35ms/epoch - 6ms/step
Epoch 497/1000
6/6 - 0s - loss: -6.6238e+00 - 36ms/epoch - 6ms/step
Epoch 498/1000
6/6 - 0s - loss: -6.6335e+00 - 35ms/epoch - 6ms/step
Epoch 499/1000
6/6 - 0s - loss: -6.5978e+00 - 35ms/epoch - 6ms/step
Epoch 500/1000
6/6 - 0s - loss: -6.5316e+00 - 35ms/epoch - 6ms/step
Epoch 501/1000
6/6 - 0s - loss: -6.6464e+00 - 35ms/epoch - 6ms/step
Epoch 502/1000
6/6 - 0s - loss: -6.6701e+00 - 34ms/epoch - 6ms/step
Epoch 503/1000
6/6 - 0s - loss: -6.6593e+00 - 37ms/epoch - 6ms/step
Epoch 504/1000
6/6 - 0s - loss: -6.6663e+00 - 37ms/epoch - 6ms/step
Epoch 505/1000
6/6 - 0s - loss: -6.6536e+00 - 35ms/epoch - 6ms/step
Epoch 506/1000
6/6 - 0s - loss: -6.6532e+00 - 35ms/epoch - 6ms/step
Epoch 507/1000
6/6 - 0s - loss: -6.6607e+00 - 33ms/epoch - 5ms/step
Epoch 508/1000
6/6 - 0s - loss: -6.6593e+00 - 34ms/epoch - 6ms/step
Epoch 509/1000
6/6 - 0s - loss: -6.6515e+00 - 36ms/epoch - 6ms/step
Epoch 510/1000
6/6 - 0s - loss: -6.6712e+00 - 33ms/epoch - 6ms/step
Epoch 511/1000
6/6 - 0s - loss: -6.6635e+00 - 33ms/epoch - 5ms/step
Epoch 512/1000
6/6 - 0s - loss: -6.6685e+00 - 34ms/epoch - 6ms/step
Epoch 513/1000
6/6 - 0s - loss: -6.6700e+00 - 33ms/epoch - 6ms/step
Epoch 514/1000
6/6 - 0s - loss: -6.6544e+00 - 36ms/epoch - 6ms/step
Epoch 515/1000
6/6 - 0s - loss: -6.6499e+00 - 40ms/epoch - 7ms/step
Epoch 516/1000
6/6 - 0s - loss: -6.6539e+00 - 35ms/epoch - 6ms/step
Epoch 517/1000
6/6 - 0s - loss: -6.6698e+00 - 35ms/epoch - 6ms/step
Epoch 518/1000
6/6 - 0s - loss: -6.6639e+00 - 34ms/epoch - 6ms/step
Epoch 519/1000
6/6 - 0s - loss: -6.6659e+00 - 32ms/epoch - 5ms/step
Epoch 520/1000
6/6 - 0s - loss: -6.6689e+00 - 34ms/epoch - 6ms/step
Epoch 521/1000
6/6 - 0s - loss: -6.6741e+00 - 36ms/epoch - 6ms/step
Epoch 522/1000
6/6 - 0s - loss: -6.6705e+00 - 36ms/epoch - 6ms/step
Epoch 523/1000
6/6 - 0s - loss: -6.6476e+00 - 33ms/epoch - 6ms/step
Epoch 524/1000
6/6 - 0s - loss: -6.6298e+00 - 34ms/epoch - 6ms/step
Epoch 525/1000
6/6 - 0s - loss: -6.6073e+00 - 32ms/epoch - 5ms/step
Epoch 526/1000
6/6 - 0s - loss: -6.6142e+00 - 33ms/epoch - 5ms/step
Epoch 527/1000
6/6 - 0s - loss: -6.6118e+00 - 32ms/epoch - 5ms/step
Epoch 528/1000
6/6 - 0s - loss: -6.6165e+00 - 34ms/epoch - 6ms/step
Epoch 529/1000
6/6 - 0s - loss: -6.6393e+00 - 34ms/epoch - 6ms/step
Epoch 530/1000
6/6 - 0s - loss: -6.6310e+00 - 35ms/epoch - 6ms/step
Epoch 531/1000
6/6 - 0s - loss: -6.6595e+00 - 31ms/epoch - 5ms/step
Epoch 532/1000
6/6 - 0s - loss: -6.6634e+00 - 32ms/epoch - 5ms/step
Epoch 533/1000
6/6 - 0s - loss: -6.6753e+00 - 33ms/epoch - 5ms/step
Epoch 534/1000
6/6 - 0s - loss: -6.6700e+00 - 35ms/epoch - 6ms/step
Epoch 535/1000
6/6 - 0s - loss: -6.6699e+00 - 32ms/epoch - 5ms/step
Epoch 536/1000
6/6 - 0s - loss: -6.6694e+00 - 33ms/epoch - 6ms/step
Epoch 537/1000
6/6 - 0s - loss: -6.6773e+00 - 34ms/epoch - 6ms/step
Epoch 538/1000
6/6 - 0s - loss: -6.6797e+00 - 34ms/epoch - 6ms/step
Epoch 539/1000
6/6 - 0s - loss: -6.6879e+00 - 35ms/epoch - 6ms/step
Epoch 540/1000
6/6 - 0s - loss: -6.6612e+00 - 33ms/epoch - 5ms/step
Epoch 541/1000
6/6 - 0s - loss: -6.6752e+00 - 35ms/epoch - 6ms/step
Epoch 542/1000
6/6 - 0s - loss: -6.6720e+00 - 33ms/epoch - 6ms/step
Epoch 543/1000
6/6 - 0s - loss: -6.6826e+00 - 34ms/epoch - 6ms/step
Epoch 544/1000
6/6 - 0s - loss: -6.6701e+00 - 37ms/epoch - 6ms/step
Epoch 545/1000
6/6 - 0s - loss: -6.6474e+00 - 31ms/epoch - 5ms/step
Epoch 546/1000
6/6 - 0s - loss: -6.6240e+00 - 33ms/epoch - 6ms/step
Epoch 547/1000
6/6 - 0s - loss: -6.6215e+00 - 34ms/epoch - 6ms/step
Epoch 548/1000
6/6 - 0s - loss: -6.6346e+00 - 33ms/epoch - 5ms/step
Epoch 549/1000
6/6 - 0s - loss: -6.6466e+00 - 34ms/epoch - 6ms/step
Epoch 550/1000
6/6 - 0s - loss: -6.6561e+00 - 31ms/epoch - 5ms/step
Epoch 551/1000
6/6 - 0s - loss: -6.6618e+00 - 34ms/epoch - 6ms/step
Epoch 552/1000
6/6 - 0s - loss: -6.6641e+00 - 44ms/epoch - 7ms/step
Epoch 553/1000
6/6 - 0s - loss: -6.6772e+00 - 44ms/epoch - 7ms/step
Epoch 554/1000
6/6 - 0s - loss: -6.6670e+00 - 40ms/epoch - 7ms/step
Epoch 555/1000
6/6 - 0s - loss: -6.6678e+00 - 36ms/epoch - 6ms/step
Epoch 556/1000
6/6 - 0s - loss: -6.6839e+00 - 40ms/epoch - 7ms/step
Epoch 557/1000
6/6 - 0s - loss: -6.6799e+00 - 37ms/epoch - 6ms/step
Epoch 558/1000
6/6 - 0s - loss: -6.6684e+00 - 36ms/epoch - 6ms/step
Epoch 559/1000
6/6 - 0s - loss: -6.6709e+00 - 35ms/epoch - 6ms/step
Epoch 560/1000
6/6 - 0s - loss: -6.6727e+00 - 34ms/epoch - 6ms/step
Epoch 561/1000
6/6 - 0s - loss: -6.6744e+00 - 35ms/epoch - 6ms/step
Epoch 562/1000
6/6 - 0s - loss: -6.6694e+00 - 36ms/epoch - 6ms/step
Epoch 563/1000
6/6 - 0s - loss: -6.6776e+00 - 34ms/epoch - 6ms/step
Epoch 564/1000
6/6 - 0s - loss: -6.6837e+00 - 32ms/epoch - 5ms/step
Epoch 565/1000
6/6 - 0s - loss: -6.6884e+00 - 32ms/epoch - 5ms/step
Epoch 566/1000
6/6 - 0s - loss: -6.6766e+00 - 33ms/epoch - 5ms/step
Epoch 567/1000
6/6 - 0s - loss: -6.6940e+00 - 33ms/epoch - 6ms/step
Epoch 568/1000
6/6 - 0s - loss: -6.6764e+00 - 39ms/epoch - 6ms/step
Epoch 569/1000
6/6 - 0s - loss: -6.6886e+00 - 37ms/epoch - 6ms/step
Epoch 570/1000
6/6 - 0s - loss: -6.6869e+00 - 38ms/epoch - 6ms/step
Epoch 571/1000
6/6 - 0s - loss: -6.6891e+00 - 36ms/epoch - 6ms/step
Epoch 572/1000
6/6 - 0s - loss: -6.6882e+00 - 35ms/epoch - 6ms/step
Epoch 573/1000
6/6 - 0s - loss: -6.6794e+00 - 36ms/epoch - 6ms/step
Epoch 574/1000
6/6 - 0s - loss: -6.6915e+00 - 35ms/epoch - 6ms/step
Epoch 575/1000
6/6 - 0s - loss: -6.6876e+00 - 33ms/epoch - 6ms/step
Epoch 576/1000
6/6 - 0s - loss: -6.6925e+00 - 36ms/epoch - 6ms/step
Epoch 577/1000
6/6 - 0s - loss: -6.6914e+00 - 33ms/epoch - 5ms/step
Epoch 578/1000
6/6 - 0s - loss: -6.6865e+00 - 34ms/epoch - 6ms/step
Epoch 579/1000
6/6 - 0s - loss: -6.6522e+00 - 33ms/epoch - 5ms/step
Epoch 580/1000
6/6 - 0s - loss: -6.5641e+00 - 38ms/epoch - 6ms/step
Epoch 581/1000
6/6 - 0s - loss: -6.5562e+00 - 33ms/epoch - 5ms/step
Epoch 582/1000
6/6 - 0s - loss: -6.6288e+00 - 34ms/epoch - 6ms/step
Epoch 583/1000
6/6 - 0s - loss: -6.6327e+00 - 34ms/epoch - 6ms/step
Epoch 584/1000
6/6 - 0s - loss: -6.6479e+00 - 33ms/epoch - 5ms/step
Epoch 585/1000
6/6 - 0s - loss: -6.6553e+00 - 34ms/epoch - 6ms/step
Epoch 586/1000
6/6 - 0s - loss: -6.6614e+00 - 37ms/epoch - 6ms/step
Epoch 587/1000
6/6 - 0s - loss: -6.6535e+00 - 34ms/epoch - 6ms/step
Epoch 588/1000
6/6 - 0s - loss: -6.6673e+00 - 37ms/epoch - 6ms/step
Epoch 589/1000
6/6 - 0s - loss: -6.6697e+00 - 34ms/epoch - 6ms/step
Epoch 590/1000
6/6 - 0s - loss: -6.6579e+00 - 34ms/epoch - 6ms/step
Epoch 591/1000
6/6 - 0s - loss: -6.6603e+00 - 36ms/epoch - 6ms/step
Epoch 592/1000
6/6 - 0s - loss: -6.6359e+00 - 34ms/epoch - 6ms/step
Epoch 593/1000
6/6 - 0s - loss: -6.6096e+00 - 34ms/epoch - 6ms/step
Epoch 594/1000
6/6 - 0s - loss: -6.6013e+00 - 33ms/epoch - 5ms/step
Epoch 595/1000
6/6 - 0s - loss: -6.6043e+00 - 33ms/epoch - 6ms/step
Epoch 596/1000
6/6 - 0s - loss: -6.6007e+00 - 36ms/epoch - 6ms/step
Epoch 597/1000
6/6 - 0s - loss: -6.6091e+00 - 31ms/epoch - 5ms/step
Epoch 598/1000
6/6 - 0s - loss: -6.6195e+00 - 36ms/epoch - 6ms/step
Epoch 599/1000
6/6 - 0s - loss: -6.6204e+00 - 34ms/epoch - 6ms/step
Epoch 600/1000
6/6 - 0s - loss: -6.6275e+00 - 34ms/epoch - 6ms/step
Epoch 601/1000
6/6 - 0s - loss: -6.6344e+00 - 31ms/epoch - 5ms/step
Epoch 602/1000
6/6 - 0s - loss: -6.6211e+00 - 34ms/epoch - 6ms/step
Epoch 603/1000
6/6 - 0s - loss: -6.6281e+00 - 33ms/epoch - 6ms/step
Epoch 604/1000
6/6 - 0s - loss: -6.6320e+00 - 35ms/epoch - 6ms/step
Epoch 605/1000
6/6 - 0s - loss: -6.6338e+00 - 34ms/epoch - 6ms/step
Epoch 606/1000
6/6 - 0s - loss: -6.6544e+00 - 33ms/epoch - 5ms/step
Epoch 607/1000
6/6 - 0s - loss: -6.6447e+00 - 32ms/epoch - 5ms/step
Epoch 608/1000
6/6 - 0s - loss: -6.6543e+00 - 34ms/epoch - 6ms/step
Epoch 609/1000
6/6 - 0s - loss: -6.6681e+00 - 33ms/epoch - 5ms/step
Epoch 610/1000
6/6 - 0s - loss: -6.6657e+00 - 35ms/epoch - 6ms/step
Epoch 611/1000
6/6 - 0s - loss: -6.6655e+00 - 32ms/epoch - 5ms/step
Epoch 612/1000
6/6 - 0s - loss: -6.6577e+00 - 36ms/epoch - 6ms/step
Epoch 613/1000
6/6 - 0s - loss: -6.6434e+00 - 32ms/epoch - 5ms/step
Epoch 614/1000
6/6 - 0s - loss: -6.6605e+00 - 32ms/epoch - 5ms/step
Epoch 615/1000
6/6 - 0s - loss: -6.6647e+00 - 33ms/epoch - 5ms/step
Epoch 616/1000
6/6 - 0s - loss: -6.6639e+00 - 36ms/epoch - 6ms/step
Epoch 617/1000
6/6 - 0s - loss: -6.6646e+00 - 34ms/epoch - 6ms/step
Epoch 618/1000
6/6 - 0s - loss: -6.6650e+00 - 35ms/epoch - 6ms/step
Epoch 619/1000
6/6 - 0s - loss: -6.6693e+00 - 38ms/epoch - 6ms/step
Epoch 620/1000
6/6 - 0s - loss: -6.6677e+00 - 40ms/epoch - 7ms/step
Epoch 621/1000
6/6 - 0s - loss: -6.6699e+00 - 33ms/epoch - 6ms/step
Epoch 622/1000
6/6 - 0s - loss: -6.6780e+00 - 34ms/epoch - 6ms/step
Epoch 623/1000
6/6 - 0s - loss: -6.6643e+00 - 33ms/epoch - 6ms/step
Epoch 624/1000
6/6 - 0s - loss: -6.6571e+00 - 35ms/epoch - 6ms/step
Epoch 625/1000
6/6 - 0s - loss: -6.6689e+00 - 33ms/epoch - 5ms/step
Epoch 626/1000
6/6 - 0s - loss: -6.6756e+00 - 34ms/epoch - 6ms/step
Epoch 627/1000
6/6 - 0s - loss: -6.6739e+00 - 34ms/epoch - 6ms/step
Epoch 628/1000
6/6 - 0s - loss: -6.6649e+00 - 37ms/epoch - 6ms/step
Epoch 629/1000
6/6 - 0s - loss: -6.6732e+00 - 33ms/epoch - 5ms/step
Epoch 630/1000
6/6 - 0s - loss: -6.6585e+00 - 34ms/epoch - 6ms/step
Epoch 631/1000
6/6 - 0s - loss: -6.6781e+00 - 31ms/epoch - 5ms/step
Epoch 632/1000
6/6 - 0s - loss: -6.6600e+00 - 35ms/epoch - 6ms/step
Epoch 633/1000
6/6 - 0s - loss: -6.6715e+00 - 34ms/epoch - 6ms/step
Epoch 634/1000
6/6 - 0s - loss: -6.6747e+00 - 34ms/epoch - 6ms/step
Epoch 635/1000
6/6 - 0s - loss: -6.6665e+00 - 31ms/epoch - 5ms/step
Epoch 636/1000
6/6 - 0s - loss: -6.6766e+00 - 35ms/epoch - 6ms/step
Epoch 637/1000
6/6 - 0s - loss: -6.6691e+00 - 33ms/epoch - 5ms/step
Epoch 638/1000
6/6 - 0s - loss: -6.6773e+00 - 33ms/epoch - 6ms/step
Epoch 639/1000
6/6 - 0s - loss: -6.6797e+00 - 34ms/epoch - 6ms/step
Epoch 640/1000
6/6 - 0s - loss: -6.6804e+00 - 32ms/epoch - 5ms/step
Epoch 641/1000
6/6 - 0s - loss: -6.6802e+00 - 33ms/epoch - 6ms/step
Epoch 642/1000
6/6 - 0s - loss: -6.6745e+00 - 34ms/epoch - 6ms/step
Epoch 643/1000
6/6 - 0s - loss: -6.6775e+00 - 31ms/epoch - 5ms/step
Epoch 644/1000
6/6 - 0s - loss: -6.6770e+00 - 38ms/epoch - 6ms/step
Epoch 645/1000
6/6 - 0s - loss: -6.6789e+00 - 34ms/epoch - 6ms/step
Epoch 646/1000
6/6 - 0s - loss: -6.6251e+00 - 33ms/epoch - 6ms/step
Epoch 647/1000
6/6 - 0s - loss: -6.5695e+00 - 33ms/epoch - 6ms/step
Epoch 648/1000
6/6 - 0s - loss: -6.5763e+00 - 33ms/epoch - 6ms/step
Epoch 649/1000
6/6 - 0s - loss: -6.6009e+00 - 40ms/epoch - 7ms/step
Epoch 650/1000
6/6 - 0s - loss: -6.5825e+00 - 34ms/epoch - 6ms/step
Epoch 651/1000
6/6 - 0s - loss: -6.5542e+00 - 34ms/epoch - 6ms/step
Epoch 652/1000
6/6 - 0s - loss: -6.5438e+00 - 33ms/epoch - 6ms/step
Epoch 653/1000
6/6 - 0s - loss: -6.5587e+00 - 34ms/epoch - 6ms/step
Epoch 654/1000
6/6 - 0s - loss: -6.5728e+00 - 34ms/epoch - 6ms/step
Epoch 655/1000
6/6 - 0s - loss: -6.5890e+00 - 34ms/epoch - 6ms/step
Epoch 656/1000
6/6 - 0s - loss: -6.6095e+00 - 33ms/epoch - 6ms/step
Epoch 657/1000
6/6 - 0s - loss: -6.6607e+00 - 33ms/epoch - 5ms/step
Epoch 658/1000
6/6 - 0s - loss: -6.6246e+00 - 37ms/epoch - 6ms/step
Epoch 659/1000
6/6 - 0s - loss: -6.4932e+00 - 34ms/epoch - 6ms/step
Epoch 660/1000
6/6 - 0s - loss: -6.4262e+00 - 31ms/epoch - 5ms/step
Epoch 661/1000
6/6 - 0s - loss: -6.4315e+00 - 34ms/epoch - 6ms/step
Epoch 662/1000
6/6 - 0s - loss: -6.4390e+00 - 36ms/epoch - 6ms/step
Epoch 663/1000
6/6 - 0s - loss: -6.4728e+00 - 34ms/epoch - 6ms/step
Epoch 664/1000
6/6 - 0s - loss: -6.5116e+00 - 33ms/epoch - 5ms/step
Epoch 665/1000
6/6 - 0s - loss: -6.5424e+00 - 33ms/epoch - 6ms/step
Epoch 666/1000
6/6 - 0s - loss: -6.5685e+00 - 33ms/epoch - 6ms/step
Epoch 667/1000
6/6 - 0s - loss: -6.5821e+00 - 33ms/epoch - 6ms/step
Epoch 668/1000
6/6 - 0s - loss: -6.5902e+00 - 34ms/epoch - 6ms/step
Epoch 669/1000
6/6 - 0s - loss: -6.6091e+00 - 33ms/epoch - 5ms/step
Epoch 670/1000
6/6 - 0s - loss: -6.6267e+00 - 34ms/epoch - 6ms/step
Epoch 671/1000
6/6 - 0s - loss: -6.6174e+00 - 34ms/epoch - 6ms/step
Epoch 672/1000
6/6 - 0s - loss: -6.6389e+00 - 33ms/epoch - 6ms/step
Epoch 673/1000
6/6 - 0s - loss: -6.6215e+00 - 31ms/epoch - 5ms/step
Epoch 674/1000
6/6 - 0s - loss: -6.6342e+00 - 33ms/epoch - 5ms/step
Epoch 675/1000
6/6 - 0s - loss: -6.6347e+00 - 34ms/epoch - 6ms/step
Epoch 676/1000
6/6 - 0s - loss: -6.6475e+00 - 34ms/epoch - 6ms/step
Epoch 677/1000
6/6 - 0s - loss: -6.6549e+00 - 31ms/epoch - 5ms/step
Epoch 678/1000
6/6 - 0s - loss: -6.6553e+00 - 33ms/epoch - 5ms/step
Epoch 679/1000
6/6 - 0s - loss: -6.6582e+00 - 32ms/epoch - 5ms/step
Epoch 680/1000
6/6 - 0s - loss: -6.6497e+00 - 33ms/epoch - 5ms/step
Epoch 681/1000
6/6 - 0s - loss: -6.6505e+00 - 34ms/epoch - 6ms/step
Epoch 682/1000
6/6 - 0s - loss: -6.6724e+00 - 33ms/epoch - 5ms/step
Epoch 683/1000
6/6 - 0s - loss: -6.6729e+00 - 32ms/epoch - 5ms/step
Epoch 684/1000
6/6 - 0s - loss: -6.6620e+00 - 33ms/epoch - 6ms/step
Epoch 685/1000
6/6 - 0s - loss: -6.6676e+00 - 34ms/epoch - 6ms/step
Epoch 686/1000
6/6 - 0s - loss: -6.6544e+00 - 34ms/epoch - 6ms/step
Epoch 687/1000
6/6 - 0s - loss: -6.6557e+00 - 34ms/epoch - 6ms/step
Epoch 688/1000
6/6 - 0s - loss: -6.6635e+00 - 35ms/epoch - 6ms/step
Epoch 689/1000
6/6 - 0s - loss: -6.6724e+00 - 35ms/epoch - 6ms/step
Epoch 690/1000
6/6 - 0s - loss: -6.6725e+00 - 32ms/epoch - 5ms/step
Epoch 691/1000
6/6 - 0s - loss: -6.6051e+00 - 34ms/epoch - 6ms/step
Epoch 692/1000
6/6 - 0s - loss: -6.5485e+00 - 33ms/epoch - 5ms/step
Epoch 693/1000
6/6 - 0s - loss: -6.5246e+00 - 35ms/epoch - 6ms/step
Epoch 694/1000
6/6 - 0s - loss: -6.5273e+00 - 33ms/epoch - 6ms/step
Epoch 695/1000
6/6 - 0s - loss: -6.5027e+00 - 33ms/epoch - 6ms/step
Epoch 696/1000
6/6 - 0s - loss: -6.4896e+00 - 33ms/epoch - 5ms/step
Epoch 697/1000
6/6 - 0s - loss: -6.4979e+00 - 35ms/epoch - 6ms/step
Epoch 698/1000
6/6 - 0s - loss: -6.5149e+00 - 35ms/epoch - 6ms/step
Epoch 699/1000
6/6 - 0s - loss: -6.5493e+00 - 31ms/epoch - 5ms/step
Epoch 700/1000
6/6 - 0s - loss: -6.5529e+00 - 35ms/epoch - 6ms/step
Epoch 701/1000
6/6 - 0s - loss: -6.5768e+00 - 32ms/epoch - 5ms/step
Epoch 702/1000
6/6 - 0s - loss: -6.5921e+00 - 31ms/epoch - 5ms/step
Epoch 703/1000
6/6 - 0s - loss: -6.6016e+00 - 33ms/epoch - 6ms/step
Epoch 704/1000
6/6 - 0s - loss: -6.5985e+00 - 32ms/epoch - 5ms/step
Epoch 705/1000
6/6 - 0s - loss: -6.6154e+00 - 30ms/epoch - 5ms/step
Epoch 706/1000
6/6 - 0s - loss: -6.6218e+00 - 32ms/epoch - 5ms/step
Epoch 707/1000
6/6 - 0s - loss: -6.6236e+00 - 35ms/epoch - 6ms/step
Epoch 708/1000
6/6 - 0s - loss: -6.6298e+00 - 32ms/epoch - 5ms/step
Epoch 709/1000
6/6 - 0s - loss: -6.6285e+00 - 32ms/epoch - 5ms/step
Epoch 710/1000
6/6 - 0s - loss: -6.6286e+00 - 31ms/epoch - 5ms/step
Epoch 711/1000
6/6 - 0s - loss: -6.6273e+00 - 33ms/epoch - 6ms/step
Epoch 712/1000
6/6 - 0s - loss: -6.6474e+00 - 36ms/epoch - 6ms/step
Epoch 713/1000
6/6 - 0s - loss: -6.6509e+00 - 34ms/epoch - 6ms/step
Epoch 714/1000
6/6 - 0s - loss: -6.6389e+00 - 34ms/epoch - 6ms/step
Epoch 715/1000
6/6 - 0s - loss: -6.6574e+00 - 40ms/epoch - 7ms/step
Epoch 716/1000
6/6 - 0s - loss: -6.6542e+00 - 37ms/epoch - 6ms/step
Epoch 717/1000
6/6 - 0s - loss: -6.6533e+00 - 33ms/epoch - 6ms/step
Epoch 718/1000
6/6 - 0s - loss: -6.6622e+00 - 32ms/epoch - 5ms/step
Epoch 719/1000
6/6 - 0s - loss: -6.6726e+00 - 33ms/epoch - 6ms/step
Epoch 720/1000
6/6 - 0s - loss: -6.6740e+00 - 32ms/epoch - 5ms/step
Epoch 721/1000
6/6 - 0s - loss: -6.6677e+00 - 32ms/epoch - 5ms/step
Epoch 722/1000
6/6 - 0s - loss: -6.6609e+00 - 35ms/epoch - 6ms/step
Epoch 723/1000
6/6 - 0s - loss: -6.6802e+00 - 34ms/epoch - 6ms/step
Epoch 724/1000
6/6 - 0s - loss: -6.6600e+00 - 36ms/epoch - 6ms/step
Epoch 725/1000
6/6 - 0s - loss: -6.6702e+00 - 33ms/epoch - 6ms/step
Epoch 726/1000
6/6 - 0s - loss: -6.6664e+00 - 33ms/epoch - 6ms/step
Epoch 727/1000
6/6 - 0s - loss: -6.6757e+00 - 32ms/epoch - 5ms/step
Epoch 728/1000
6/6 - 0s - loss: -6.6857e+00 - 36ms/epoch - 6ms/step
Epoch 729/1000
6/6 - 0s - loss: -6.6750e+00 - 35ms/epoch - 6ms/step
Epoch 730/1000
6/6 - 0s - loss: -6.6762e+00 - 35ms/epoch - 6ms/step
Epoch 731/1000
6/6 - 0s - loss: -6.6771e+00 - 33ms/epoch - 5ms/step
Epoch 732/1000
6/6 - 0s - loss: -6.6738e+00 - 35ms/epoch - 6ms/step
Epoch 733/1000
6/6 - 0s - loss: -6.6774e+00 - 32ms/epoch - 5ms/step
Epoch 734/1000
6/6 - 0s - loss: -6.6572e+00 - 34ms/epoch - 6ms/step
Epoch 735/1000
6/6 - 0s - loss: -6.6769e+00 - 33ms/epoch - 6ms/step
Epoch 736/1000
6/6 - 0s - loss: -6.6827e+00 - 34ms/epoch - 6ms/step
Epoch 737/1000
6/6 - 0s - loss: -6.6807e+00 - 34ms/epoch - 6ms/step
Epoch 738/1000
6/6 - 0s - loss: -6.6861e+00 - 33ms/epoch - 6ms/step
Epoch 739/1000
6/6 - 0s - loss: -6.6874e+00 - 34ms/epoch - 6ms/step
Epoch 740/1000
6/6 - 0s - loss: -6.6871e+00 - 34ms/epoch - 6ms/step
Epoch 741/1000
6/6 - 0s - loss: -6.6865e+00 - 35ms/epoch - 6ms/step
Epoch 742/1000
6/6 - 0s - loss: -6.6789e+00 - 34ms/epoch - 6ms/step
Epoch 743/1000
6/6 - 0s - loss: -6.6833e+00 - 34ms/epoch - 6ms/step
Epoch 744/1000
6/6 - 0s - loss: -6.6785e+00 - 36ms/epoch - 6ms/step
Epoch 745/1000
6/6 - 0s - loss: -6.6850e+00 - 37ms/epoch - 6ms/step
Epoch 746/1000
6/6 - 0s - loss: -6.6839e+00 - 35ms/epoch - 6ms/step
Epoch 747/1000
6/6 - 0s - loss: -6.6791e+00 - 35ms/epoch - 6ms/step
Epoch 748/1000
6/6 - 0s - loss: -6.6793e+00 - 32ms/epoch - 5ms/step
Epoch 749/1000
6/6 - 0s - loss: -6.6883e+00 - 32ms/epoch - 5ms/step
Epoch 750/1000
6/6 - 0s - loss: -6.6937e+00 - 34ms/epoch - 6ms/step
Epoch 751/1000
6/6 - 0s - loss: -6.6837e+00 - 34ms/epoch - 6ms/step
Epoch 752/1000
6/6 - 0s - loss: -6.6911e+00 - 36ms/epoch - 6ms/step
Epoch 753/1000
6/6 - 0s - loss: -6.6839e+00 - 34ms/epoch - 6ms/step
Epoch 754/1000
6/6 - 0s - loss: -6.6897e+00 - 32ms/epoch - 5ms/step
Epoch 755/1000
6/6 - 0s - loss: -6.6875e+00 - 33ms/epoch - 6ms/step
Epoch 756/1000
6/6 - 0s - loss: -6.6805e+00 - 33ms/epoch - 6ms/step
Epoch 757/1000
6/6 - 0s - loss: -6.6893e+00 - 37ms/epoch - 6ms/step
Epoch 758/1000
6/6 - 0s - loss: -6.6907e+00 - 32ms/epoch - 5ms/step
Epoch 759/1000
6/6 - 0s - loss: -6.6856e+00 - 31ms/epoch - 5ms/step
Epoch 760/1000
6/6 - 0s - loss: -6.6972e+00 - 37ms/epoch - 6ms/step
Epoch 761/1000
6/6 - 0s - loss: -6.6960e+00 - 34ms/epoch - 6ms/step
Epoch 762/1000
6/6 - 0s - loss: -6.6864e+00 - 33ms/epoch - 6ms/step
Epoch 763/1000
6/6 - 0s - loss: -6.6889e+00 - 31ms/epoch - 5ms/step
Epoch 764/1000
6/6 - 0s - loss: -6.6882e+00 - 34ms/epoch - 6ms/step
Epoch 765/1000
6/6 - 0s - loss: -6.6993e+00 - 32ms/epoch - 5ms/step
Epoch 766/1000
6/6 - 0s - loss: -6.6850e+00 - 31ms/epoch - 5ms/step
Epoch 767/1000
6/6 - 0s - loss: -6.7033e+00 - 33ms/epoch - 5ms/step
Epoch 768/1000
6/6 - 0s - loss: -6.6918e+00 - 32ms/epoch - 5ms/step
Epoch 769/1000
6/6 - 0s - loss: -6.6889e+00 - 34ms/epoch - 6ms/step
Epoch 770/1000
6/6 - 0s - loss: -6.7054e+00 - 31ms/epoch - 5ms/step
Epoch 771/1000
6/6 - 0s - loss: -6.6925e+00 - 33ms/epoch - 5ms/step
Epoch 772/1000
6/6 - 0s - loss: -6.6994e+00 - 38ms/epoch - 6ms/step
Epoch 773/1000
6/6 - 0s - loss: -6.6917e+00 - 35ms/epoch - 6ms/step
Epoch 774/1000
6/6 - 0s - loss: -6.7044e+00 - 36ms/epoch - 6ms/step
Epoch 775/1000
6/6 - 0s - loss: -6.7013e+00 - 32ms/epoch - 5ms/step
Epoch 776/1000
6/6 - 0s - loss: -6.6932e+00 - 32ms/epoch - 5ms/step
Epoch 777/1000
6/6 - 0s - loss: -6.6935e+00 - 33ms/epoch - 5ms/step
Epoch 778/1000
6/6 - 0s - loss: -6.6988e+00 - 34ms/epoch - 6ms/step
Epoch 779/1000
6/6 - 0s - loss: -6.7016e+00 - 34ms/epoch - 6ms/step
Epoch 780/1000
6/6 - 0s - loss: -6.6964e+00 - 33ms/epoch - 6ms/step
Epoch 781/1000
6/6 - 0s - loss: -6.6926e+00 - 33ms/epoch - 6ms/step
Epoch 782/1000
6/6 - 0s - loss: -6.6977e+00 - 31ms/epoch - 5ms/step
Epoch 783/1000
6/6 - 0s - loss: -6.6992e+00 - 35ms/epoch - 6ms/step
Epoch 784/1000
6/6 - 0s - loss: -6.6991e+00 - 33ms/epoch - 6ms/step
Epoch 785/1000
6/6 - 0s - loss: -6.7004e+00 - 32ms/epoch - 5ms/step
Epoch 786/1000
6/6 - 0s - loss: -6.7068e+00 - 32ms/epoch - 5ms/step
Epoch 787/1000
6/6 - 0s - loss: -6.6951e+00 - 31ms/epoch - 5ms/step
Epoch 788/1000
6/6 - 0s - loss: -6.7030e+00 - 33ms/epoch - 6ms/step
Epoch 789/1000
6/6 - 0s - loss: -6.6950e+00 - 32ms/epoch - 5ms/step
Epoch 790/1000
6/6 - 0s - loss: -6.7072e+00 - 31ms/epoch - 5ms/step
Epoch 791/1000
6/6 - 0s - loss: -6.7034e+00 - 31ms/epoch - 5ms/step
Epoch 792/1000
6/6 - 0s - loss: -6.7023e+00 - 36ms/epoch - 6ms/step
Epoch 793/1000
6/6 - 0s - loss: -6.7044e+00 - 32ms/epoch - 5ms/step
Epoch 794/1000
6/6 - 0s - loss: -6.6884e+00 - 40ms/epoch - 7ms/step
Epoch 795/1000
6/6 - 0s - loss: -6.7035e+00 - 33ms/epoch - 6ms/step
Epoch 796/1000
6/6 - 0s - loss: -6.6917e+00 - 34ms/epoch - 6ms/step
Epoch 797/1000
6/6 - 0s - loss: -6.7034e+00 - 33ms/epoch - 6ms/step
Epoch 798/1000
6/6 - 0s - loss: -6.7011e+00 - 33ms/epoch - 6ms/step
Epoch 799/1000
6/6 - 0s - loss: -6.7061e+00 - 39ms/epoch - 6ms/step
Epoch 800/1000
6/6 - 0s - loss: -6.7001e+00 - 34ms/epoch - 6ms/step
Epoch 801/1000
6/6 - 0s - loss: -6.7030e+00 - 34ms/epoch - 6ms/step
Epoch 802/1000
6/6 - 0s - loss: -6.7010e+00 - 37ms/epoch - 6ms/step
Epoch 803/1000
6/6 - 0s - loss: -6.6998e+00 - 36ms/epoch - 6ms/step
Epoch 804/1000
6/6 - 0s - loss: -6.7082e+00 - 35ms/epoch - 6ms/step
Epoch 805/1000
6/6 - 0s - loss: -6.6946e+00 - 35ms/epoch - 6ms/step
Epoch 806/1000
6/6 - 0s - loss: -6.7045e+00 - 32ms/epoch - 5ms/step
Epoch 807/1000
6/6 - 0s - loss: -6.7075e+00 - 31ms/epoch - 5ms/step
Epoch 808/1000
6/6 - 0s - loss: -6.7037e+00 - 31ms/epoch - 5ms/step
Epoch 809/1000
6/6 - 0s - loss: -6.6981e+00 - 33ms/epoch - 6ms/step
Epoch 810/1000
6/6 - 0s - loss: -6.7102e+00 - 33ms/epoch - 5ms/step
Epoch 811/1000
6/6 - 0s - loss: -6.6976e+00 - 32ms/epoch - 5ms/step
Epoch 812/1000
6/6 - 0s - loss: -6.7115e+00 - 35ms/epoch - 6ms/step
Epoch 813/1000
6/6 - 0s - loss: -6.7131e+00 - 37ms/epoch - 6ms/step
Epoch 814/1000
6/6 - 0s - loss: -6.7000e+00 - 36ms/epoch - 6ms/step
Epoch 815/1000
6/6 - 0s - loss: -6.6974e+00 - 37ms/epoch - 6ms/step
Epoch 816/1000
6/6 - 0s - loss: -6.7095e+00 - 34ms/epoch - 6ms/step
Epoch 817/1000
6/6 - 0s - loss: -6.7104e+00 - 38ms/epoch - 6ms/step
Epoch 818/1000
6/6 - 0s - loss: -6.7015e+00 - 35ms/epoch - 6ms/step
Epoch 819/1000
6/6 - 0s - loss: -6.7122e+00 - 34ms/epoch - 6ms/step
Epoch 820/1000
6/6 - 0s - loss: -6.7056e+00 - 34ms/epoch - 6ms/step
Epoch 821/1000
6/6 - 0s - loss: -6.6803e+00 - 37ms/epoch - 6ms/step
Epoch 822/1000
6/6 - 0s - loss: -6.6358e+00 - 33ms/epoch - 6ms/step
Epoch 823/1000
6/6 - 0s - loss: -6.6138e+00 - 33ms/epoch - 5ms/step
Epoch 824/1000
6/6 - 0s - loss: -6.6101e+00 - 34ms/epoch - 6ms/step
Epoch 825/1000
6/6 - 0s - loss: -6.6197e+00 - 35ms/epoch - 6ms/step
Epoch 826/1000
6/6 - 0s - loss: -6.6195e+00 - 33ms/epoch - 6ms/step
Epoch 827/1000
6/6 - 0s - loss: -6.6303e+00 - 32ms/epoch - 5ms/step
Epoch 828/1000
6/6 - 0s - loss: -6.6459e+00 - 36ms/epoch - 6ms/step
Epoch 829/1000
6/6 - 0s - loss: -6.6640e+00 - 35ms/epoch - 6ms/step
Epoch 830/1000
6/6 - 0s - loss: -6.6654e+00 - 33ms/epoch - 6ms/step
Epoch 831/1000
6/6 - 0s - loss: -6.6759e+00 - 33ms/epoch - 6ms/step
Epoch 832/1000
6/6 - 0s - loss: -6.6746e+00 - 36ms/epoch - 6ms/step
Epoch 833/1000
6/6 - 0s - loss: -6.6656e+00 - 35ms/epoch - 6ms/step
Epoch 834/1000
6/6 - 0s - loss: -6.6701e+00 - 32ms/epoch - 5ms/step
Epoch 835/1000
6/6 - 0s - loss: -6.6890e+00 - 33ms/epoch - 6ms/step
Epoch 836/1000
6/6 - 0s - loss: -6.6864e+00 - 34ms/epoch - 6ms/step
Epoch 837/1000
6/6 - 0s - loss: -6.6948e+00 - 31ms/epoch - 5ms/step
Epoch 838/1000
6/6 - 0s - loss: -6.6931e+00 - 34ms/epoch - 6ms/step
Epoch 839/1000
6/6 - 0s - loss: -6.7037e+00 - 31ms/epoch - 5ms/step
Epoch 840/1000
6/6 - 0s - loss: -6.7053e+00 - 32ms/epoch - 5ms/step
Epoch 841/1000
6/6 - 0s - loss: -6.6968e+00 - 33ms/epoch - 5ms/step
Epoch 842/1000
6/6 - 0s - loss: -6.6945e+00 - 31ms/epoch - 5ms/step
Epoch 843/1000
6/6 - 0s - loss: -6.6954e+00 - 34ms/epoch - 6ms/step
Epoch 844/1000
6/6 - 0s - loss: -6.7032e+00 - 32ms/epoch - 5ms/step
Epoch 845/1000
6/6 - 0s - loss: -6.6968e+00 - 33ms/epoch - 5ms/step
Epoch 846/1000
6/6 - 0s - loss: -6.6983e+00 - 35ms/epoch - 6ms/step
Epoch 847/1000
6/6 - 0s - loss: -6.6995e+00 - 34ms/epoch - 6ms/step
Epoch 848/1000
6/6 - 0s - loss: -6.7087e+00 - 35ms/epoch - 6ms/step
Epoch 849/1000
6/6 - 0s - loss: -6.7069e+00 - 31ms/epoch - 5ms/step
Epoch 850/1000
6/6 - 0s - loss: -6.7063e+00 - 33ms/epoch - 5ms/step
Epoch 851/1000
6/6 - 0s - loss: -6.6975e+00 - 35ms/epoch - 6ms/step
Epoch 852/1000
6/6 - 0s - loss: -6.6988e+00 - 37ms/epoch - 6ms/step
Epoch 853/1000
6/6 - 0s - loss: -6.7111e+00 - 33ms/epoch - 6ms/step
Epoch 854/1000
6/6 - 0s - loss: -6.7067e+00 - 32ms/epoch - 5ms/step
Epoch 855/1000
6/6 - 0s - loss: -6.7068e+00 - 32ms/epoch - 5ms/step
Epoch 856/1000
6/6 - 0s - loss: -6.7115e+00 - 37ms/epoch - 6ms/step
Epoch 857/1000
6/6 - 0s - loss: -6.7167e+00 - 34ms/epoch - 6ms/step
Epoch 858/1000
6/6 - 0s - loss: -6.7083e+00 - 32ms/epoch - 5ms/step
Epoch 859/1000
6/6 - 0s - loss: -6.7134e+00 - 32ms/epoch - 5ms/step
Epoch 860/1000
6/6 - 0s - loss: -6.7077e+00 - 34ms/epoch - 6ms/step
Epoch 861/1000
6/6 - 0s - loss: -6.6969e+00 - 32ms/epoch - 5ms/step
Epoch 862/1000
6/6 - 0s - loss: -6.6809e+00 - 33ms/epoch - 5ms/step
Epoch 863/1000
6/6 - 0s - loss: -6.6709e+00 - 34ms/epoch - 6ms/step
Epoch 864/1000
6/6 - 0s - loss: -6.6842e+00 - 33ms/epoch - 6ms/step
Epoch 865/1000
6/6 - 0s - loss: -6.6835e+00 - 33ms/epoch - 5ms/step
Epoch 866/1000
6/6 - 0s - loss: -6.6861e+00 - 32ms/epoch - 5ms/step
Epoch 867/1000
6/6 - 0s - loss: -6.6819e+00 - 33ms/epoch - 6ms/step
Epoch 868/1000
6/6 - 0s - loss: -6.6935e+00 - 35ms/epoch - 6ms/step
Epoch 869/1000
6/6 - 0s - loss: -6.6920e+00 - 32ms/epoch - 5ms/step
Epoch 870/1000
6/6 - 0s - loss: -6.6999e+00 - 34ms/epoch - 6ms/step
Epoch 871/1000
6/6 - 0s - loss: -6.7033e+00 - 32ms/epoch - 5ms/step
Epoch 872/1000
6/6 - 0s - loss: -6.7076e+00 - 34ms/epoch - 6ms/step
Epoch 873/1000
6/6 - 0s - loss: -6.7153e+00 - 37ms/epoch - 6ms/step
Epoch 874/1000
6/6 - 0s - loss: -6.7159e+00 - 33ms/epoch - 5ms/step
Epoch 875/1000
6/6 - 0s - loss: -6.7145e+00 - 31ms/epoch - 5ms/step
Epoch 876/1000
6/6 - 0s - loss: -6.7168e+00 - 33ms/epoch - 5ms/step
Epoch 877/1000
6/6 - 0s - loss: -6.7215e+00 - 33ms/epoch - 6ms/step
Epoch 878/1000
6/6 - 0s - loss: -6.7123e+00 - 32ms/epoch - 5ms/step
Epoch 879/1000
6/6 - 0s - loss: -6.7110e+00 - 31ms/epoch - 5ms/step
Epoch 880/1000
6/6 - 0s - loss: -6.7201e+00 - 34ms/epoch - 6ms/step
Epoch 881/1000
6/6 - 0s - loss: -6.7098e+00 - 39ms/epoch - 6ms/step
Epoch 882/1000
6/6 - 0s - loss: -6.7175e+00 - 31ms/epoch - 5ms/step
Epoch 883/1000
6/6 - 0s - loss: -6.7136e+00 - 31ms/epoch - 5ms/step
Epoch 884/1000
6/6 - 0s - loss: -6.7199e+00 - 34ms/epoch - 6ms/step
Epoch 885/1000
6/6 - 0s - loss: -6.7200e+00 - 34ms/epoch - 6ms/step
Epoch 886/1000
6/6 - 0s - loss: -6.7193e+00 - 34ms/epoch - 6ms/step
Epoch 887/1000
6/6 - 0s - loss: -6.7212e+00 - 33ms/epoch - 6ms/step
Epoch 888/1000
6/6 - 0s - loss: -6.7196e+00 - 34ms/epoch - 6ms/step
Epoch 889/1000
6/6 - 0s - loss: -6.7159e+00 - 31ms/epoch - 5ms/step
Epoch 890/1000
6/6 - 0s - loss: -6.7195e+00 - 31ms/epoch - 5ms/step
Epoch 891/1000
6/6 - 0s - loss: -6.7191e+00 - 34ms/epoch - 6ms/step
Epoch 892/1000
6/6 - 0s - loss: -6.7174e+00 - 30ms/epoch - 5ms/step
Epoch 893/1000
6/6 - 0s - loss: -6.7162e+00 - 37ms/epoch - 6ms/step
Epoch 894/1000
6/6 - 0s - loss: -6.7262e+00 - 33ms/epoch - 5ms/step
Epoch 895/1000
6/6 - 0s - loss: -6.7177e+00 - 34ms/epoch - 6ms/step
Epoch 896/1000
6/6 - 0s - loss: -6.7169e+00 - 32ms/epoch - 5ms/step
Epoch 897/1000
6/6 - 0s - loss: -6.7152e+00 - 33ms/epoch - 6ms/step
Epoch 898/1000
6/6 - 0s - loss: -6.7223e+00 - 32ms/epoch - 5ms/step
Epoch 899/1000
6/6 - 0s - loss: -6.7077e+00 - 38ms/epoch - 6ms/step
Epoch 900/1000
6/6 - 0s - loss: -6.7126e+00 - 33ms/epoch - 5ms/step
Epoch 901/1000
6/6 - 0s - loss: -6.7074e+00 - 34ms/epoch - 6ms/step
Epoch 902/1000
6/6 - 0s - loss: -6.7019e+00 - 38ms/epoch - 6ms/step
Epoch 903/1000
6/6 - 0s - loss: -6.7178e+00 - 42ms/epoch - 7ms/step
Epoch 904/1000
6/6 - 0s - loss: -6.7085e+00 - 34ms/epoch - 6ms/step
Epoch 905/1000
6/6 - 0s - loss: -6.7194e+00 - 34ms/epoch - 6ms/step
Epoch 906/1000
6/6 - 0s - loss: -6.7102e+00 - 34ms/epoch - 6ms/step
Epoch 907/1000
6/6 - 0s - loss: -6.7139e+00 - 36ms/epoch - 6ms/step
Epoch 908/1000
6/6 - 0s - loss: -6.7142e+00 - 35ms/epoch - 6ms/step
Epoch 909/1000
6/6 - 0s - loss: -6.7141e+00 - 41ms/epoch - 7ms/step
Epoch 910/1000
6/6 - 0s - loss: -6.7077e+00 - 39ms/epoch - 6ms/step
Epoch 911/1000
6/6 - 0s - loss: -6.7170e+00 - 41ms/epoch - 7ms/step
Epoch 912/1000
6/6 - 0s - loss: -6.7234e+00 - 34ms/epoch - 6ms/step
Epoch 913/1000
6/6 - 0s - loss: -6.7194e+00 - 36ms/epoch - 6ms/step
Epoch 914/1000
6/6 - 0s - loss: -6.7103e+00 - 31ms/epoch - 5ms/step
Epoch 915/1000
6/6 - 0s - loss: -6.7102e+00 - 35ms/epoch - 6ms/step
Epoch 916/1000
6/6 - 0s - loss: -6.7107e+00 - 36ms/epoch - 6ms/step
Epoch 917/1000
6/6 - 0s - loss: -6.7138e+00 - 34ms/epoch - 6ms/step
Epoch 918/1000
6/6 - 0s - loss: -6.7112e+00 - 36ms/epoch - 6ms/step
Epoch 919/1000
6/6 - 0s - loss: -6.7123e+00 - 36ms/epoch - 6ms/step
Epoch 920/1000
6/6 - 0s - loss: -6.7197e+00 - 35ms/epoch - 6ms/step
Epoch 921/1000
6/6 - 0s - loss: -6.7120e+00 - 35ms/epoch - 6ms/step
Epoch 922/1000
6/6 - 0s - loss: -6.7221e+00 - 36ms/epoch - 6ms/step
Epoch 923/1000
6/6 - 0s - loss: -6.7186e+00 - 33ms/epoch - 5ms/step
Epoch 924/1000
6/6 - 0s - loss: -6.7071e+00 - 33ms/epoch - 6ms/step
Epoch 925/1000
6/6 - 0s - loss: -6.7150e+00 - 33ms/epoch - 5ms/step
Epoch 926/1000
6/6 - 0s - loss: -6.7059e+00 - 36ms/epoch - 6ms/step
Epoch 927/1000
6/6 - 0s - loss: -6.7122e+00 - 34ms/epoch - 6ms/step
Epoch 928/1000
6/6 - 0s - loss: -6.7003e+00 - 36ms/epoch - 6ms/step
Epoch 929/1000
6/6 - 0s - loss: -6.6983e+00 - 33ms/epoch - 5ms/step
Epoch 930/1000
6/6 - 0s - loss: -6.7026e+00 - 32ms/epoch - 5ms/step
Epoch 931/1000
6/6 - 0s - loss: -6.7028e+00 - 36ms/epoch - 6ms/step
Epoch 932/1000
6/6 - 0s - loss: -6.7092e+00 - 32ms/epoch - 5ms/step
Epoch 933/1000
6/6 - 0s - loss: -6.7104e+00 - 31ms/epoch - 5ms/step
Epoch 934/1000
6/6 - 0s - loss: -6.7080e+00 - 31ms/epoch - 5ms/step
Epoch 935/1000
6/6 - 0s - loss: -6.7078e+00 - 33ms/epoch - 5ms/step
Epoch 936/1000
6/6 - 0s - loss: -6.7075e+00 - 35ms/epoch - 6ms/step
Epoch 937/1000
6/6 - 0s - loss: -6.7097e+00 - 31ms/epoch - 5ms/step
Epoch 938/1000
6/6 - 0s - loss: -6.7081e+00 - 34ms/epoch - 6ms/step
Epoch 939/1000
6/6 - 0s - loss: -6.7012e+00 - 33ms/epoch - 5ms/step
Epoch 940/1000
6/6 - 0s - loss: -6.7107e+00 - 32ms/epoch - 5ms/step
Epoch 941/1000
6/6 - 0s - loss: -6.7089e+00 - 32ms/epoch - 5ms/step
Epoch 942/1000
6/6 - 0s - loss: -6.7133e+00 - 33ms/epoch - 5ms/step
Epoch 943/1000
6/6 - 0s - loss: -6.7161e+00 - 31ms/epoch - 5ms/step
Epoch 944/1000
6/6 - 0s - loss: -6.7161e+00 - 31ms/epoch - 5ms/step
Epoch 945/1000
6/6 - 0s - loss: -6.7113e+00 - 35ms/epoch - 6ms/step
Epoch 946/1000
6/6 - 0s - loss: -6.7117e+00 - 34ms/epoch - 6ms/step
Epoch 947/1000
6/6 - 0s - loss: -6.7127e+00 - 34ms/epoch - 6ms/step
Epoch 948/1000
6/6 - 0s - loss: -6.7206e+00 - 33ms/epoch - 5ms/step
Epoch 949/1000
6/6 - 0s - loss: -6.7196e+00 - 33ms/epoch - 5ms/step
Epoch 950/1000
6/6 - 0s - loss: -6.7181e+00 - 32ms/epoch - 5ms/step
Epoch 951/1000
6/6 - 0s - loss: -6.7073e+00 - 32ms/epoch - 5ms/step
Epoch 952/1000
6/6 - 0s - loss: -6.7169e+00 - 34ms/epoch - 6ms/step
Epoch 953/1000
6/6 - 0s - loss: -6.7147e+00 - 33ms/epoch - 5ms/step
Epoch 954/1000
6/6 - 0s - loss: -6.7065e+00 - 32ms/epoch - 5ms/step
Epoch 955/1000
6/6 - 0s - loss: -6.7092e+00 - 32ms/epoch - 5ms/step
Epoch 956/1000
6/6 - 0s - loss: -6.7047e+00 - 32ms/epoch - 5ms/step
Epoch 957/1000
6/6 - 0s - loss: -6.7050e+00 - 33ms/epoch - 5ms/step
Epoch 958/1000
6/6 - 0s - loss: -6.7056e+00 - 35ms/epoch - 6ms/step
Epoch 959/1000
6/6 - 0s - loss: -6.7186e+00 - 34ms/epoch - 6ms/step
Epoch 960/1000
6/6 - 0s - loss: -6.7242e+00 - 35ms/epoch - 6ms/step
Epoch 961/1000
6/6 - 0s - loss: -6.7136e+00 - 33ms/epoch - 6ms/step
Epoch 962/1000
6/6 - 0s - loss: -6.5691e+00 - 34ms/epoch - 6ms/step
Epoch 963/1000
6/6 - 0s - loss: -6.4468e+00 - 33ms/epoch - 6ms/step
Epoch 964/1000
6/6 - 0s - loss: -6.6349e+00 - 32ms/epoch - 5ms/step
Epoch 965/1000
6/6 - 0s - loss: -6.7003e+00 - 34ms/epoch - 6ms/step
Epoch 966/1000
6/6 - 0s - loss: -6.7094e+00 - 34ms/epoch - 6ms/step
Epoch 967/1000
6/6 - 0s - loss: -6.7058e+00 - 33ms/epoch - 6ms/step
Epoch 968/1000
6/6 - 0s - loss: -6.7132e+00 - 31ms/epoch - 5ms/step
Epoch 969/1000
6/6 - 0s - loss: -6.7076e+00 - 32ms/epoch - 5ms/step
Epoch 970/1000
6/6 - 0s - loss: -6.6975e+00 - 36ms/epoch - 6ms/step
Epoch 971/1000
6/6 - 0s - loss: -6.7100e+00 - 34ms/epoch - 6ms/step
Epoch 972/1000
6/6 - 0s - loss: -6.7041e+00 - 34ms/epoch - 6ms/step
Epoch 973/1000
6/6 - 0s - loss: -6.7021e+00 - 35ms/epoch - 6ms/step
Epoch 974/1000
6/6 - 0s - loss: -6.7120e+00 - 36ms/epoch - 6ms/step
Epoch 975/1000
6/6 - 0s - loss: -6.7146e+00 - 35ms/epoch - 6ms/step
Epoch 976/1000
6/6 - 0s - loss: -6.7065e+00 - 36ms/epoch - 6ms/step
Epoch 977/1000
6/6 - 0s - loss: -6.7112e+00 - 33ms/epoch - 5ms/step
Epoch 978/1000
6/6 - 0s - loss: -6.6853e+00 - 33ms/epoch - 5ms/step
Epoch 979/1000
6/6 - 0s - loss: -6.5187e+00 - 33ms/epoch - 6ms/step
Epoch 980/1000
6/6 - 0s - loss: -6.3543e+00 - 32ms/epoch - 5ms/step
Epoch 981/1000
6/6 - 0s - loss: -6.3132e+00 - 31ms/epoch - 5ms/step
Epoch 982/1000
6/6 - 0s - loss: -6.3977e+00 - 32ms/epoch - 5ms/step
Epoch 983/1000
6/6 - 0s - loss: -6.5163e+00 - 37ms/epoch - 6ms/step
Epoch 984/1000
6/6 - 0s - loss: -6.5726e+00 - 34ms/epoch - 6ms/step
Epoch 985/1000
6/6 - 0s - loss: -6.6358e+00 - 32ms/epoch - 5ms/step
Epoch 986/1000
6/6 - 0s - loss: -6.6423e+00 - 33ms/epoch - 5ms/step
Epoch 987/1000
6/6 - 0s - loss: -6.6668e+00 - 34ms/epoch - 6ms/step
Epoch 988/1000
6/6 - 0s - loss: -6.6634e+00 - 33ms/epoch - 6ms/step
Epoch 989/1000
6/6 - 0s - loss: -6.6674e+00 - 30ms/epoch - 5ms/step
Epoch 990/1000
6/6 - 0s - loss: -6.6846e+00 - 32ms/epoch - 5ms/step
Epoch 991/1000
6/6 - 0s - loss: -6.6826e+00 - 33ms/epoch - 5ms/step
Epoch 992/1000
6/6 - 0s - loss: -6.6900e+00 - 31ms/epoch - 5ms/step
Epoch 993/1000
6/6 - 0s - loss: -6.6916e+00 - 32ms/epoch - 5ms/step
Epoch 994/1000
6/6 - 0s - loss: -6.6972e+00 - 33ms/epoch - 5ms/step
Epoch 995/1000
6/6 - 0s - loss: -6.6982e+00 - 34ms/epoch - 6ms/step
Epoch 996/1000
6/6 - 0s - loss: -6.6890e+00 - 32ms/epoch - 5ms/step
Epoch 997/1000
6/6 - 0s - loss: -6.6900e+00 - 33ms/epoch - 6ms/step
Epoch 998/1000
6/6 - 0s - loss: -6.6919e+00 - 37ms/epoch - 6ms/step
Epoch 999/1000
6/6 - 0s - loss: -6.6885e+00 - 32ms/epoch - 5ms/step
Epoch 1000/1000
6/6 - 0s - loss: -6.6979e+00 - 32ms/epoch - 5ms/step

Fold 4 prediction cv gini_0: 0.92009


Fold 4 prediction cv gini_1: 0.92870


Fold 4 prediction cv gini_2: 0.92201


Fold 4 prediction cv gini_3: 0.91611


Fold 4 prediction cv gini_4: 0.90770


Fold 4 prediction cv gini_5: 0.92087


Fold 4 prediction cv gini_6: 0.92698

Mean validation fold gini_0: 0.93582

Mean validation fold gini_1: 0.93707

Mean validation fold gini_2: 0.93496

Mean validation fold gini_3: 0.92884

Mean validation fold gini_4: 0.92406

Mean validation fold gini_5: 0.92214

Mean validation fold gini_6: 0.92134

1.6.2 Summary and plot the MLP model

plot_model(NN, to_file='/content/drive/My Drive/Colab_data/covid19/model_plot_MLP_7d.png', show_shapes=True, show_layer_names=True)

print(NN.summary())
with open('/content/drive/My Drive/Colab_data/covid19/model_summary_MLP_7d.txt', 'w') as f:
    with redirect_stdout(f):
        NN.summary()

Model: "model_99"
__________________________________________________________________________________________________
 Layer (type)                   Output Shape         Param #     Connected to                     
==================================================================================================
 input_793 (InputLayer)         [(None, 1)]          0           []                               
                                                                                                  
 input_794 (InputLayer)         [(None, 1)]          0           []                               
                                                                                                  
 input_795 (InputLayer)         [(None, 1)]          0           []                               
                                                                                                  
 input_796 (InputLayer)         [(None, 1)]          0           []                               
                                                                                                  
 input_797 (InputLayer)         [(None, 1)]          0           []                               
                                                                                                  
 input_798 (InputLayer)         [(None, 1)]          0           []                               
                                                                                                  
 input_799 (InputLayer)         [(None, 1)]          0           []                               
                                                                                                  
 embedding_693 (Embedding)      (None, 1, 9)         207         ['input_793[0][0]']              
                                                                                                  
 embedding_694 (Embedding)      (None, 1, 1)         2           ['input_794[0][0]']              
                                                                                                  
 embedding_695 (Embedding)      (None, 1, 6)         72          ['input_795[0][0]']              
                                                                                                  
 embedding_696 (Embedding)      (None, 1, 11)        341         ['input_796[0][0]']              
                                                                                                  
 embedding_697 (Embedding)      (None, 1, 15)        795         ['input_797[0][0]']              
                                                                                                  
 embedding_698 (Embedding)      (None, 1, 5)         35          ['input_798[0][0]']              
                                                                                                  
 embedding_699 (Embedding)      (None, 1, 2)         4           ['input_799[0][0]']              
                                                                                                  
 input_800 (InputLayer)         [(None, 25)]         0           []                               
                                                                                                  
 reshape_693 (Reshape)          (None, 9)            0           ['embedding_693[0][0]']          
                                                                                                  
 reshape_694 (Reshape)          (None, 1)            0           ['embedding_694[0][0]']          
                                                                                                  
 reshape_695 (Reshape)          (None, 6)            0           ['embedding_695[0][0]']          
                                                                                                  
 reshape_696 (Reshape)          (None, 11)           0           ['embedding_696[0][0]']          
                                                                                                  
 reshape_697 (Reshape)          (None, 15)           0           ['embedding_697[0][0]']          
                                                                                                  
 reshape_698 (Reshape)          (None, 5)            0           ['embedding_698[0][0]']          
                                                                                                  
 reshape_699 (Reshape)          (None, 2)            0           ['embedding_699[0][0]']          
                                                                                                  
 dense_495 (Dense)              (None, 19)           494         ['input_800[0][0]']              
                                                                                                  
 concatenate_99 (Concatenate)   (None, 68)           0           ['reshape_693[0][0]',            
                                                                  'reshape_694[0][0]',            
                                                                  'reshape_695[0][0]',            
                                                                  'reshape_696[0][0]',            
                                                                  'reshape_697[0][0]',            
                                                                  'reshape_698[0][0]',            
                                                                  'reshape_699[0][0]',            
                                                                  'dense_495[0][0]']              
                                                                                                  
 dense_496 (Dense)              (None, 90)           6210        ['concatenate_99[0][0]']         
                                                                                                  
 dropout_297 (Dropout)          (None, 90)           0           ['dense_496[0][0]']              
                                                                                                  
 dense_497 (Dense)              (None, 40)           3640        ['dropout_297[0][0]']            
                                                                                                  
 dropout_298 (Dropout)          (None, 40)           0           ['dense_497[0][0]']              
                                                                                                  
 dense_498 (Dense)              (None, 10)           410         ['dropout_298[0][0]']            
                                                                                                  
 dropout_299 (Dropout)          (None, 10)           0           ['dense_498[0][0]']              
                                                                                                  
 dense_499 (Dense)              (None, 7)            77          ['dropout_299[0][0]']            
                                                                                                  
==================================================================================================
Total params: 12,287
Trainable params: 12,287
Non-trainable params: 0
__________________________________________________________________________________________________
None

1.7 Organize and evaluate model performance

1.7.1 Organize and evaluate model performance: train set

# average train_preds across folds to get train_y_pred
train_y_pred_fold = numpy.empty((len(train_idx_fold[0]), n_steps_out, len(train_idx_fold)))
train_y_pred_fold[:]=np.NaN
for i, train_idx in enumerate(train_idx_fold): 
    train_y_pred_fold[train_idx,:,i] = train_preds[i]
train_y_pred = np.nanmean(train_y_pred_fold, axis=2)

rez_MLP_7d_train = {}
train_set_idx = np.isnan(train_y_pred).sum(axis=1)==0
rez_MLP_7d_train['timestamp'] = [train_timestamp[i] for i, logic in enumerate(train_set_idx) if logic ==True]
rez_MLP_7d_train['country'] = [train_country[i] for i, logic in enumerate(train_set_idx) if logic ==True]
rez_MLP_7d_train['X'] = train_X[train_set_idx,:] # note that variables are scaled and preprocessed for embedding 
rez_MLP_7d_train['y'] = scaler_y.inverse_transform(train_y)[train_set_idx,:] # back to the original unit (cases per million)
rez_MLP_7d_train['y_pred'] = scaler_y.inverse_transform(train_y_pred)[train_set_idx,:] 
rez_MLP_7d_train['rmse'] = rmse_y_y_pred(rez_MLP_7d_train, n_steps_out)

1.7.2 Organize and evaluate model performance: validation set

# average val_preds across folds to get val_y_pred
val_y_pred_fold = numpy.empty((len(train_idx_fold[0]), n_steps_out, len(train_idx_fold)))
val_y_pred_fold[:]=np.NaN
for i, val_idx in enumerate(val_idx_fold): 
    val_y_pred_fold[val_idx,:,i] = val_preds[i]
val_y_pred = np.nanmean(val_y_pred_fold, axis=2)

rez_MLP_7d_val = {}
val_set_idx = np.isnan(val_y_pred).sum(axis=1)==0
rez_MLP_7d_val['timestamp'] = [train_timestamp[i] for i, logic in enumerate(val_set_idx) if logic ==True]
rez_MLP_7d_val['country'] = [train_country[i] for i, logic in enumerate(val_set_idx) if logic ==True]
rez_MLP_7d_val['X'] = train_X[val_set_idx,:] # note that variables are scaled and preprocessed for embedding 
rez_MLP_7d_val['y'] = scaler_y.inverse_transform(train_y)[val_set_idx,:] # back to the original unit (cases per million)
rez_MLP_7d_val['y_pred'] = scaler_y.inverse_transform(val_y_pred)[val_set_idx,:] 
rez_MLP_7d_val['rmse'] = rmse_y_y_pred(rez_MLP_7d_val, n_steps_out)

1.7.3 Organize and evaluate model performance: test set

rez_MLP_7d_test = {}
rez_MLP_7d_test['timestamp'] = test_timestamp
rez_MLP_7d_test['country'] = test_country
rez_MLP_7d_test['X'] = test_X # note that variables are scaled and preprocessed for embedding 
rez_MLP_7d_test['y'] = scaler_y.inverse_transform(test_y)
rez_MLP_7d_test['y_pred'] = scaler_y.inverse_transform(test_y_pred)
rez_MLP_7d_test['rmse'] = rmse_y_y_pred(rez_MLP_7d_test, n_steps_out)

1.7.4 Organize and evaluate model performance: save data

rez_MLP_7d = {'train':rez_MLP_7d_train, 'validation':rez_MLP_7d_val, 'test':rez_MLP_7d_test}

filePath_pickle = Path('/content/drive/My Drive/Colab_data/covid19/covid19_MLP_7d_with_lagging_shorter_test_period_colab.pickle')
with open(filePath_pickle, 'wb') as f:
    pickle.dump(rez_MLP_7d, f)

# load the saved dictionary from pickle file
# filePath_pickle = Path('/content/drive/My Drive/Colab_data/covid19/covid19_MLP_7d_with_lagging_shorter_test_period_colab.pickle')
# with open(filePath_pickle, 'rb') as f:
#     rez_MLP_7d = pickle.load(f)

1.7.5 Organize and evaluate model performance: plot

plot_actual_predicted(rez_MLP_7d['test'], dict_country, 'test', n_steps_out=7)